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2020 – today
- 2025
- [j34]Juheon Yi, Utku Günay Acer, Fahim Kawsar, Chulhong Min:
Argus: Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras. IEEE Trans. Mob. Comput. 24(1): 117-134 (2025) - 2024
- [j33]Diana A. Vasile, Fahim Kawsar, Chulhong Min:
Emerging Paradigms in Wearable Security: Adaptable and Secure Sandboxing for On-the-Fly Collaboration Among Wearables. IEEE Secur. Priv. 22(6): 30-39 (2024) - [j32]Dimitris Spathis, Fahim Kawsar:
The first step is the hardest: pitfalls of representing and tokenizing temporal data for large language models. J. Am. Medical Informatics Assoc. 31(9): 2151-2158 (2024) - [j31]Fahim Kawsar:
Beyond Pixels. IEEE Pervasive Comput. 23(1): 4-6 (2024) - [c131]Yushan Huang, Taesik Gong, Si Young Jang, Fahim Kawsar, Chulhong Min:
Energy Characterization of Tiny AI Accelerator-Equipped Microcontrollers. HumanSys@SenSys 2024: 1-6 - [c130]Ashok Samraj Thangarajan, Fahim Kawsar, Alessandro Montanari:
Hierarchical Demand Based Resource Allocation for On-Device Inference. HumanSys@SenSys 2024: 7-10 - [c129]Irtaza Shahid, Khaldoon Al-Naimi, Ting Dang, Yang Liu, Fahim Kawsar, Alessandro Montanari:
Towards Enabling DPOAE Estimation on Single-Speaker Earbuds. ICASSP 2024: 246-250 - [c128]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Using Self-supervised Learning Can Improve Model Fairness. KDD 2024: 3942-3953 - [c127]Si Young Jang, Fahim Kawsar, Chulhong Min:
Thermal Characterization of AI Applications on AI Accelerators-equipped Microcontrollers. BodySys@MobiSys 2024: 17-22 - [c126]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Kaizen: Practical self-supervised continual learning with continual fine-tuning. WACV 2024: 2829-2838 - [c125]Mohammad Malekzadeh, Fahim Kawsar:
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. HotMobile 2024: 14-20 - [c124]Julia Romero, Andrea Ferlini, Dimitris Spathis, Ting Dang, Katayoun Farrahi, Fahim Kawsar, Alessandro Montanari:
OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring. HotMobile 2024: 99-106 - [c123]Soumyajit Chatterjee, Fahim Kawsar, Mohammad Malekzadeh:
Poster: Test-time Training for Sensor Data Classification via Time-series Change Identification. HotMobile 2024: 139 - [c122]Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur:
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking. WSDM 2024: 152-160 - [i31]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data. CoRR abs/2401.01640 (2024) - [i30]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo:
Balancing Continual Learning and Fine-tuning for Human Activity Recognition. CoRR abs/2401.02255 (2024) - [i29]Taesik Gong, Si Young Jang, Utku Günay Acer, Fahim Kawsar, Chulhong Min:
Collaborative Inference via Dynamic Composition of Tiny AI Accelerators on MCUs. CoRR abs/2401.08637 (2024) - [i28]Chulhong Min, Juheon Yi, Utku Günay Acer, Fahim Kawsar:
Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras. CoRR abs/2401.14132 (2024) - [i27]Adiba Orzikulova, Diana A. Vasile, Fahim Kawsar, Chulhong Min:
Time-bound Contextual Bio-ID Generation for Minimalist Wearables. CoRR abs/2403.00889 (2024) - [i26]Chulhong Min, Utku Günay Acer, Si Young Jang, Sangwon Choi, Diana A. Vasile, Taesik Gong, Juheon Yi, Fahim Kawsar:
An AI-Native Runtime for Multi-Wearable Environments. CoRR abs/2403.17863 (2024) - [i25]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Using Self-supervised Learning Can Improve Model Fairness. CoRR abs/2406.02361 (2024) - [i24]Alessandro Montanari, Ashok Thangarajan, Khaldoon Al-Naimi, Andrea Ferlini, Yang Liu, Ananta Narayanan Balaji, Fahim Kawsar:
OmniBuds: A Sensory Earable Platform for Advanced Bio-Sensing and On-Device Machine Learning. CoRR abs/2410.04775 (2024) - [i23]Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh:
PaPaGei: Open Foundation Models for Optical Physiological Signals. CoRR abs/2410.20542 (2024) - [i22]Ryuhaerang Choi, Soumyajit Chatterjee, Dimitris Spathis, Sung-Ju Lee, Fahim Kawsar, Mohammad Malekzadeh:
SoundCollage: Automated Discovery of New Classes in Audio Datasets. CoRR abs/2410.23008 (2024) - [i21]Arnav M. Das, Chi Ian Tang, Fahim Kawsar, Mohammad Malekzadeh:
PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision. CoRR abs/2411.15127 (2024) - [i20]Taesik Gong, Fahim Kawsar, Chulhong Min:
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators. CoRR abs/2412.06566 (2024) - 2023
- [j30]Berken Utku Demirel, Ting Dang, Khaldoon Al-Naimi, Fahim Kawsar, Alessandro Montanari:
Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 156:1-156:29 (2023) - [j29]Fahim Kawsar:
A New Beginning. IEEE Pervasive Comput. 22(1): 4-6 (2023) - [j28]Fahim Kawsar:
Generative AI and the Call for Brevity. IEEE Pervasive Comput. 22(3): 4-5 (2023) - [j27]Nicole Lai-Tan, Marios G. Philiastides, Fahim Kawsar, Fani Deligianni:
Toward Personalized Music-Therapy: A Neurocomputational Modeling Perspective. IEEE Pervasive Comput. 22(3): 27-37 (2023) - [j26]Chulhong Min, Akhil Mathur, Utku Günay Acer, Alessandro Montanari, Fahim Kawsar:
SensiX++: Bringing MLOps and Multi-tenant Model Serving to Sensory Edge Devices. ACM Trans. Embed. Comput. Syst. 22(6): 98:1-98:27 (2023) - [j25]Kamran Ali, Mohammed Alloulah, Fahim Kawsar, Alex X. Liu:
On Goodness of WiFi Based Monitoring of Sleep Vital Signs in the Wild. IEEE Trans. Mob. Comput. 22(1): 341-355 (2023) - [j24]Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar:
SensiX: A System for Best-Effort Inference of Machine Learning Models in Multi-Device Environments. IEEE Trans. Mob. Comput. 22(9): 5525-5538 (2023) - [j23]Wiebke Toussaint Hutiri, Aaron Yi Ding, Fahim Kawsar, Akhil Mathur:
Tiny, Always-on, and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows. ACM Trans. Softw. Eng. Methodol. 32(6): 155:1-155:37 (2023) - [c121]Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar:
Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach. EXTRAAMAS 2023: 270-280 - [c120]Berken Utku Demirel, Khaldoon Al-Naimi, Fahim Kawsar, Alessandro Montanari:
Cancelling Intermodulation Distortions for Otoacoustic Emission Measurements with Earbuds. ICASSP 2023: 1-5 - [c119]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
The State of Algorithmic Fairness in Mobile Human-Computer Interaction. MobileHCI (Companion) 2023: 19:1-19:7 - [c118]Bhawana Chhaglani, Utku Günay Acer, Si Young Jang, Fahim Kawsar, Chulhong Min:
Cocoon: On-Body Microphone Collaboration for Spatial Awareness. HotMobile 2023: 89-95 - [c117]Ananta Narayanan Balaji, Andrea Ferlini, Fahim Kawsar, Alessandro Montanari:
Stereo-BP: Non-Invasive Blood Pressure Sensing with Earables. HotMobile 2023: 96-102 - [d2]Andrea Ferlini, Alessandro Montanari, Ananta Narayanan Balaji, Cecilia Mascolo, Fahim Kawsar:
EarSet: A Multi-Modal In-Ear Dataset. Version 1. Zenodo, 2023 [all versions] - [d1]Andrea Ferlini, Alessandro Montanari, Ananta Narayanan Balaji, Cecilia Mascolo, Fahim Kawsar:
EarSet: A Multi-Modal In-Ear Dataset. Version 2. Zenodo, 2023 [all versions] - [i19]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing. CoRR abs/2303.15585 (2023) - [i18]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Practical self-supervised continual learning with continual fine-tuning. CoRR abs/2303.17235 (2023) - [i17]Nicole Lai, Marios G. Philiastides, Fahim Kawsar, Fani Deligianni:
Towards personalised music-therapy; a neurocomputational modelling perspective. CoRR abs/2305.14364 (2023) - [i16]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
The State of Algorithmic Fairness in Mobile Human-Computer Interaction. CoRR abs/2307.12075 (2023) - [i15]Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur:
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries. CoRR abs/2307.16847 (2023) - [i14]Dimitris Spathis, Fahim Kawsar:
The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models. CoRR abs/2309.06236 (2023) - [i13]Mohammad Malekzadeh, Fahim Kawsar:
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. CoRR abs/2310.13384 (2023) - 2022
- [j22]Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur:
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 17:1-17:28 (2022) - [j21]Utku Günay Acer, Marc Van den Broeck, Chulhong Min, Mallesham Dasari, Fahim Kawsar:
The City as a Personal Assistant: Turning Urban Landmarks into Conversational Agents for Serving Hyper Local Information. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 40:1-40:31 (2022) - [j20]Hyunsung Cho, Akhil Mathur, Fahim Kawsar:
FLAME: Federated Learning across Multi-device Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 107:1-107:29 (2022) - [j19]Andrea Ferlini, Alessandro Montanari, Chulhong Min, Hongwei Li, Ugo Sassi, Fahim Kawsar:
In-Ear PPG for Vital Signs. IEEE Pervasive Comput. 21(1): 65-74 (2022) - [j18]Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
FRuDA: Framework for Distributed Adversarial Domain Adaptation. IEEE Trans. Parallel Distributed Syst. 33(11): 3153-3164 (2022) - [c116]Hoang Truong, Alessandro Montanari, Fahim Kawsar:
Non-Invasive Blood Pressure Monitoring with Multi-Modal In-Ear Sensing. ICASSP 2022: 6-10 - [c115]Jing Yang, Chulhong Min, Akhil Mathur, Fahim Kawsar:
SleepGAN: Towards Personalized Sleep Therapy Music. ICASSP 2022: 966-970 - [c114]Fahad Ayaz, Muhammed Shahzeb Khan, Sajjad Hussain, Waseem Ahmad, Fahim Kawsar, Muhammad Ali Imran, Ahmed Zoha:
Contact-Free Vital Sign Estimation Using Ultra-Wide Band Radar. ICECS 2022 2022: 1-4 - [c113]Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur:
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. ICML 2022: 14461-14484 - [c112]Abu Bakar, Tousif Rahman, Rishad A. Shafik, Fahim Kawsar, Alessandro Montanari:
Adaptive Intelligence for Batteryless Sensors Using Software-Accelerated Tsetlin Machines. SenSys 2022: 236-249 - [c111]Arthur Moss, Hyunjong Lee, Lei Xun, Chulhong Min, Fahim Kawsar, Alessandro Montanari:
Ultra-Low Power DNN Accelerators for IoT: Resource Characterization of the MAX78000. SenSys 2022: 934-940 - [c110]Abu Bakar, Tousif Rahman, Alessandro Montanari, Jie Lei, Rishad A. Shafik, Fahim Kawsar:
Logic-based intelligence for batteryless sensors. HotMobile 2022: 22-28 - [i12]Wiebke Toussaint, Akhil Mathur, Fahim Kawsar, Aaron Yi Ding:
Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows. CoRR abs/2201.07677 (2022) - [i11]Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur:
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition. CoRR abs/2202.00758 (2022) - [i10]Hyunsung Cho, Akhil Mathur, Fahim Kawsar:
FLAME: Federated Learning Across Multi-device Environments. CoRR abs/2202.08922 (2022) - [i9]Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur:
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. CoRR abs/2205.11506 (2022) - [i8]Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur:
Centaur: Federated Learning for Constrained Edge Devices. CoRR abs/2211.04175 (2022) - 2021
- [j17]Fahim Kawsar, Romit Roy Choudhury, Ganesh Ananthanarayanan:
Pervasive Video and Audio. IEEE Pervasive Comput. 20(2): 7-8 (2021) - [c109]Tadashi Okoshi, Jin Nakazawa, Jeong-Gil Ko, Fahim Kawsar, Susanna Pirttikangas:
WellComp 2021: Fourth International Workshop on Computing for Well-Being. UbiComp/ISWC Adjunct 2021: 108-111 - [c108]Fahim Kawsar, Robert Harle, Alessandro Montanari, Chulhong Min:
EarComp 2021: Second International Workshop on Earable Computing. UbiComp/ISWC Adjunct 2021: 135-138 - [c107]Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar:
Designing Memory Aids for Dementia Patients using Earables. UbiComp/ISWC Adjunct 2021: 152-157 - [c106]Si Young Jang, Utku Günay Acer, Chulhong Min, Fahim Kawsar:
Deploying Collaborative Machine Learning Systems in Edge with Multiple Cameras. ICMU 2021: 1-6 - [c105]Manasa Kalanadhabhatta, Chulhong Min, Alessandro Montanari, Fahim Kawsar:
FatigueSet: A Multi-modal Dataset for Modeling Mental Fatigue and Fatigability. PervasiveHealth 2021: 204-217 - [c104]Wiebke Toussaint, Akhil Mathur, Aaron Yi Ding, Fahim Kawsar:
Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning. SenSys 2021: 439-445 - [c103]Hyunsung Cho, Akhil Mathur, Fahim Kawsar:
Device or User: Rethinking Federated Learning in Personal-Scale Multi-Device Environments. SenSys 2021: 446-452 - [c102]Juheon Yi, Chulhong Min, Fahim Kawsar:
Vision Paper: Towards Software-Defined Video Analytics with Cross-Camera Collaboration. SenSys 2021: 474-477 - [i7]Jie Lei, Tousif Rahman, Rishad A. Shafik, Adrian Wheeldon, Alex Yakovlev, Ole-Christoffer Granmo, Fahim Kawsar, Akhil Mathur:
Low-Power Audio Keyword Spotting using Tsetlin Machines. CoRR abs/2101.11336 (2021) - [i6]Chulhong Min, Akhil Mathur, Utku Günay Acer, Alessandro Montanari, Fahim Kawsar:
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices. CoRR abs/2109.03947 (2021) - [i5]Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
FRuDA: Framework for Distributed Adversarial Domain Adaptation. CoRR abs/2112.13381 (2021) - 2020
- [j16]Youngjae Chang, Akhil Mathur, Anton Isopoussu, Junehwa Song, Fahim Kawsar:
A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 39:1-39:30 (2020) - [c101]Tadashi Okoshi, Jin Nakazawa, JeongGil Ko, Fahim Kawsar, Susanna Pirttikangas:
WellComp 2020: third international workshop on computing for well-being. UbiComp/ISWC Adjunct 2020: 671-674 - [c100]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation. ICASSP 2020: 7439-7443 - [c99]Chunjong Park, Chulhong Min, Sourav Bhattacharya, Fahim Kawsar:
Augmenting Conversational Agents with Ambient Acoustic Contexts. MobileHCI 2020: 33:1-33:9 - [c98]Alessandro Montanari, Manuja Sharma, Dainius Jenkus, Mohammed Alloulah, Lorena Qendro, Fahim Kawsar:
ePerceptive: energy reactive embedded intelligence for batteryless sensors. SenSys 2020: 382-394 - [i4]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems. CoRR abs/2003.12425 (2020) - [i3]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation. CoRR abs/2009.02814 (2020) - [i2]Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Fahim Kawsar:
SensiX: A Platform for Collaborative Machine Learning on the Edge. CoRR abs/2012.06035 (2020)
2010 – 2019
- 2019
- [j15]Mohammed Alloulah, Anton Isopoussu, Chulhong Min, Fahim Kawsar:
On Tracking the Physicality of Wi-Fi: A Subspace Approach. IEEE Access 7: 19965-19978 (2019) - [j14]Moustafa Youssef, Fahim Kawsar:
Transformative Computing and Communication. Computer 52(7): 12-14 (2019) - [j13]Utku Günay Acer, Marc Van den Broeck, Claudio Forlivesi, Florian Heller, Fahim Kawsar:
Scaling Crowdsourcing with Mobile Workforce: A Case Study with Belgian Postal Service. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 35:1-35:32 (2019) - [c97]Shin Katayama, Akhil Mathur, Marc Van den Broeck, Tadashi Okoshi, Jin Nakazawa, Fahim Kawsar:
Situation-Aware Emotion Regulation of Conversational Agents with Kinetic Earables. ACII 2019: 725-731 - [c96]Seungchul Lee, Chulhong Min, Alessandro Montanari, Akhil Mathur, Youngjae Chang, Junehwa Song, Fahim Kawsar:
Automatic Smile and Frown Recognition with Kinetic Earables. AH 2019: 25:1-25:4 - [c95]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
A Vision for Adaptive and Generalizable Audio-Sensing Systems. SocialSens@CPSIoTWeek 2019: 43 - [c94]Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar:
An early characterisation of wearing variability on motion signals for wearables. UbiComp 2019: 166-168 - [c93]Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D. Lane, Fahim Kawsar:
Unsupervised domain adaptation for robust sensory systems. UbiComp/ISWC Adjunct 2019: 505-509 - [c92]Alessandro Montanari, Mohammed Alloulah, Fahim Kawsar:
Degradable inference for energy autonomous vision applications. UbiComp/ISWC Adjunct 2019: 592-597 - [c91]Utku Günay Acer, Marc Van den Broeck, Fahim Kawsar:
The city as a personal assistant. UbiComp/ISWC Adjunct 2019: 1102-1106 - [c90]Tadashi Okoshi, Jin Nakazawa, JeongGil Ko, Fahim Kawsar, Susanna Pirttikangas:
WellComp 2019: second international workshop on computing for well-being. UbiComp/ISWC Adjunct 2019: 1146-1149 - [c89]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Bianchi-Berthouze, Nicholas D. Lane:
FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation. ICMLA 2019: 896-901 - [c88]Taesik Gong, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Akhil Mathur, Fahim Kawsar:
AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models. ICMLA 2019: 978-985 - [c87]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems. IPSN 2019: 169-180 - [c86]Utku Günay Acer, Marc Van den Broeck, Fahim Kawsar:
On Hyper-local Conversational Agents in Urban Settings. MCSS@MobiSys 2019: 1-4 - [c85]Shin Katayama, Akhil Mathur, Tadashi Okoshi, Jin Nakazawa, Fahim Kawsar:
Situation-Aware Conversational Agent with Kinetic Earables. MobiSys 2019: 657-658 - [c84]Chulhong Min, Alessandro Montanari, Akhil Mathur, Fahim Kawsar:
A closer look at quality-aware runtime assessment of sensing models in multi-device environments. SenSys 2019: 271-284 - [p2]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nadia Berthouze, Nicholas D. Lane:
Towards the Design and Evaluation of Robust Audio-Sensing Systems. Human Activity Sensing 2019: 47-57 - [e8]Fahim Kawsar, Alastair R. Beresford:
Proceedings of the 1st International Workshop on Earable Computing, EarComp@UbiComp 2019, London, UK, September 10, 2019. ACM 2019, ISBN 978-1-4503-6902-2 [contents] - [e7]Junehwa Song, Minkyong Kim, Nicholas D. Lane, Rajesh Krishna Balan, Fahim Kawsar, Yunxin Liu:
Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. ACM 2019, ISBN 978-1-4503-6661-8 [contents] - [e6]Fahim Kawsar, Chulhong Min, Akhil Mathur, Ashwin Ashok, Alessandro Montanari:
The 5th ACM Workshop on Wearable Systems and Applications, WearSys@MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. ACM 2019, ISBN 978-1-4503-6775-2 [contents] - 2018
- [j12]Fahim Kawsar, Chulhong Min, Akhil Mathur, Allesandro Montanari:
Earables for Personal-Scale Behavior Analytics. IEEE Pervasive Comput. 17(3): 83-89 (2018) - [j11]Florian Michahelles, Fahim Kawsar, Simon Mayer, Luca Mottola:
Beyond Testbeds: Real-World IoT Deployments. IEEE Pervasive Comput. 17(4): 13-14 (2018) - [c83]Fahim Kawsar, Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Marc Van den Broeck:
eSense: Open Earable Platform for Human Sensing. UbiComp/ISWC Adjunct 2018: 381-383 - [c82]Sourav Bhattacharya, Alberto Gil C. P. Ramos, Fahim Kawsar, Nicholas D. Lane, Lynn M. Gionta, Joanne Manidis, Greg Silvesti, Matthieu Vegreville:
Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices. UbiComp/ISWC Adjunct 2018: 666-669 - [c81]Tadashi Okoshi, JeongGil Ko, Susanna Pirttikangas, Jin Nakazawa, Fahim Kawsar:
WellComp 2018: First International Workshop on Computing for Well-Being. UbiComp/ISWC Adjunct 2018: 684-687 - [c80]Chulhong Min, Alessandro Montanari, Akhil Mathur, Seungchul Lee, Fahim Kawsar:
Cross-Modal Approach for Conversational Well-being Monitoring with Multi-Sensory Earables. UbiComp/ISWC Adjunct 2018: 706-709 - [c79]Mohammed Alloulah, Anton Isopoussu, Fahim Kawsar:
On Indoor Human Sensing Using Commodity Radar. UbiComp/ISWC Adjunct 2018: 1331-1336 - [c78]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nicholas D. Lane, Nadia Berthouze:
On Robustness of Cloud Speech APIs: An Early Characterization. UbiComp/ISWC Adjunct 2018: 1409-1413 - [c77]Jacky Bourgeois, Gerd Kortuem, Fahim Kawsar:
Trusted and GDPR-compliant research with the internet of things. IOT 2018: 13:1-13:8 - [c76]Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Liò:
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. IPSN 2018: 200-211 - [c75]Chulhong Min, Akhil Mathur, Fahim Kawsar:
Exploring audio and kinetic sensing on earable devices. WearSys@MobiSys 2018: 5-10 - [c74]Claudio Forlivesi, Utku Günay Acer, Marc Van den Broeck, Fahim Kawsar:
Mindful interruptions: a lightweight system for managing interruptibility on wearables. WearSys@MobiSys 2018: 27-32 - [c73]Chulhong Min, Akhil Mathur, Fahim Kawsar:
Audio-Kinetic Model for Automatic Dietary Monitoring with Earable Devices. MobiSys 2018: 517 - [c72]Claudio Forlivesi, Marc Van den Broeck, Utku Günay Acer, Fahim Kawsar:
On-Wearable AI to Model Human Interruptibility. MobiSys 2018: 520 - [c71]Fahim Kawsar, Chulhong Min, Akhil Mathur, Marc Van den Broeck, Utku Günay Acer, Claudio Forlivesi:
eSense: Earable Platform for Human Sensing. MobiSys 2018: 541 - [c70]Chulhong Min, Mohammed Alloulah, Fahim Kawsar:
An early resource characterisation of wi-fi sensing on residential gateways. BuildSys 2018: 140-143 - [c69]Fahim Kawsar, Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Marc Van den Broeck:
eSense: Open Earable Platform for Human Sensing. SenSys 2018: 371-372 - [i1]Mohammed Alloulah, Anton Isopoussu, Chulhong Min, Fahim Kawsar:
On Tracking the Physicality of Wi-Fi: A Subspace Approach. CoRR abs/1810.04302 (2018) - 2017
- [j10]Akhil Mathur, Lakshmi Manasa Kalanadhabhatta, Rahul Majethia, Fahim Kawsar:
Moving Beyond Market Research: Demystifying Smartphone User Behavior in India. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 82:1-82:27 (2017) - [j9]Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Multimodal Deep Learning for Activity and Context Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 157:1-157:27 (2017) - [j8]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Squeezing Deep Learning into Mobile and Embedded Devices. IEEE Pervasive Comput. 16(3): 82-88 (2017) - [c68]Akhil Mathur, Fahim Kawsar:
Towards cognitive awareness: a mobile context modeling- and notification-based approach. UbiComp/ISWC Adjunct 2017: 977-981 - [c67]Lakshmi Manasa Kalanadhabhatta, Akhil Mathur, Rahul Majethia, Fahim Kawsar:
Application overchoice: preliminary lessons from a longitudinal study. UbiComp/ISWC Adjunct 2017: 982-987 - [c66]Marc Van den Broeck, Fahim Kawsar, Johannes Schöning:
It's All Around You: Exploring 360° Video Viewing Experiences on Mobile Devices. ACM Multimedia 2017: 762-768 - [c65]Xueli An, Fahim Kawsar, Utku Günay Acer:
Profiling and Predicting User Activity on a Home Network. MobiQuitous 2017: 494-503 - [c64]Utku Günay Acer, Marc Van den Broeck, Marc Godon, Claudio Forlivesi, Fahim Kawsar:
Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing? WPA@MobiSys 2017: 31-36 - [c63]Akhil Mathur, Nicholas D. Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar:
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware. MobiSys 2017: 68-81 - 2016
- [c62]Alessandro Montanari, Afra J. Mashhadi, Akhil Mathur, Fahim Kawsar:
Understanding the Privacy Design Space for Personal Connected Objects. BCS HCI 2016 - [c61]Afra J. Mashhadi, Fahim Kawsar, Akhil Mathur, Casey Dugan, N. Shami:
Let's Talk About the Quantified Workplace. CSCW Companion 2016: 522-528 - [c60]Valentin Radu, Nicholas D. Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Towards multimodal deep learning for activity recognition on mobile devices. UbiComp Adjunct 2016: 185-188 - [c59]Akhil Mathur, Nicholas D. Lane, Fahim Kawsar:
Engagement-aware computing: modelling user engagement from mobile contexts. UbiComp 2016: 622-633 - [c58]Afra J. Mashhadi, Utku Günay Acer, Aidan Boran, Philipp M. Scholl, Claudio Forlivesi, Geert Vanderhulst, Fahim Kawsar:
Exploring space syntax on entrepreneurial opportunities with Wi-Fi analytics. UbiComp 2016: 658-669 - [c57]Afra J. Mashhadi, Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Fahim Kawsar:
Understanding the impact of personal feedback on face-to-face interactions in the workplace. ICMI 2016: 362-369 - [c56]Biyi Fang, Nicholas D. Lane, Mi Zhang, Fahim Kawsar:
HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities. IPSN 2016: 21:1-21:12 - [c55]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar:
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. IPSN 2016: 23:1-23:12 - [c54]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. IPSN 2016: 61:1-61:2 - [c53]Afra J. Mashhadi, Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Marc Godon, Fahim Kawsar:
A case study on capturing and visualising face-to-face interactions in the workplace. MobileHCI Adjunct 2016: 575-584 - [c52]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar:
DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit. MobiCASE 2016: 98-107 - [c51]Debbie Gijsbrechts, Florian Heller, Johannes Schöning, Fahim Kawsar:
Grouve: Spontaneous Proximal Group Formation with Ultrasonic Sound Waves. MobiCASE 2016: 140-141 - [c50]Ryuji Suzuki, Geert Vanderhulst, Fahim Kawsar:
A Profiling System for Android Wear. MobiCASE 2016: 142-143 - [c49]Akhil Mathur, Fahim Kawsar:
The Need to Account for Geographical Diversities in Mobile Data Research. MobiData@MobiSys 2016: 7-11 - [c48]Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar:
Poster: Towards Radio-based Sensing on Wearables. MobiSys (Companion Volume) 2016: 23 - [c47]Utku Günay Acer, Geert Vanderhulst, Afra J. Mashhadi, Aidan Boran, Claudio Forlivesi, Philipp M. Scholl, Fahim Kawsar:
Capturing Personal and Crowd Behavior with Wi-Fi Analytics. WPA@MobiSys 2016: 43-48 - [c46]Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar:
BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring. MobiSys 2016: 97-110 - [c45]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. MobiSys (Companion Volume) 2016: 109 - [c44]Afra J. Mashhadi, Sourav Bhattacharya, Fahim Kawsar:
Understanding the Impact of Geographical Context on Subjective Well-Being of Urban Citizens. Urb-IoT 2016: 29-35 - [e5]Fahim Kawsar, Pei Zhang, Mirco Musolesi:
Proceedings of the 8th EAI International Conference on Mobile Computing, Applications and Services, MobiCASE 2016, Cambridge, UK, November 30 - December 01, 2016. ACM / ICST 2016, ISBN 978-1-63190-137-9 [contents] - [e4]Nicholas D. Lane, Xia Zhou, Fahim Kawsar:
Proceedings of the 3rd International on Workshop on Physical Analytics, WPA@MobiSys 2015, Singapore, June 26, 2016. ACM 2016, ISBN 978-1-4503-4328-2 [contents] - 2015
- [j7]Utku Günay Acer, Afra J. Mashhadi, Claudio Forlivesi, Fahim Kawsar:
Energy Efficient Scheduling for Mobile Push Notifications. EAI Endorsed Trans. Energy Web 2(5): e3 (2015) - [c43]Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Afra J. Mashhadi, Fahim Kawsar:
Tiny habits in the giant enterprise: understanding the dynamics of a quantified workplace. UbiComp 2015: 577-588 - [c42]Utku Günay Acer, Aidan Boran, Claudio Forlivesi, Werner Liekens, Fernando Pérez-Cruz, Fahim Kawsar:
Sensing WiFi network for personal IoT analytics. IOT 2015: 104-111 - [c41]Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Afra J. Mashhadi, Fahim Kawsar:
Quantified Workplace: Opportunities and Challenges. WPA@MobiSys 2015: 37-41 - [c40]Afra J. Mashhadi, Geert Vanderhulst, Utku Günay Acer, Fahim Kawsar:
An Autonomous Reputation Framework for Physical Locations based on WiFi Signals. WPA@MobiSys 2015: 43-46 - [c39]Geert Vanderhulst, Afra J. Mashhadi, Marzieh Dashti, Fahim Kawsar:
Detecting human encounters from WiFi radio signals. MUM 2015: 97-108 - [c38]Geert Vanderhulst, Marzieh Dashti, Afra J. Mashhadi, Fahim Kawsar:
CrumblR: Enabling proxemic services through opportunistic location sharing. PerCom Workshops 2015: 256-259 - [c37]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. IoT-App@SenSys 2015: 7-12 - 2014
- [c36]Esunly Medina, Fahim Kawsar, Roc Meseguer, Sergio F. Ochoa:
Situated Micro-displays for Activity-Aware Systems. HCI (21) 2014: 450-461 - [c35]Afra J. Mashhadi, Akhil Mathur, Fahim Kawsar:
The myth of subtle notifications. UbiComp Adjunct 2014: 111-114 - [c34]Geert Vanderhulst, Marc Van den Broeck, Fahim Kawsar:
Exploring the design space for geo-fenced connected devices and services at home. UbiComp Adjunct 2014: 1321-1327 - [c33]Afra J. Mashhadi, Fahim Kawsar, Utku Günay Acer:
Human Data Interaction in IoT: The ownership aspect. WF-IoT 2014: 159-162 - [e3]Moustafa Youssef, Cecilia Mascolo, Fahim Kawsar:
11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2014, London, United Kingdom, December 2-5, 2014. ICST / ACM 2014, ISBN 978-1-63190-039-6 [contents] - [e2]Fahim Kawsar, Ulf Blanke, Afra J. Mashhadi, Bashar Altakrouri:
The First International Conference on IoT in Urban Space, Urb-IoT 2014, Rome, Italy, October 27-28, 2014. ICST 2014, ISBN 978-1-63190-037-2 [contents] - 2013
- [j6]Mohamed Ali Feki, Fahim Kawsar, Mathieu Boussard, Lieven Trappeniers:
The Internet of Things: The Next Technological Revolution. Computer 46(2): 24-25 (2013) - [c32]Fahim Kawsar, A. J. Bernheim Brush:
Home computing unplugged: why, where and when people use different connected devices at home. UbiComp 2013: 627-636 - [c31]Fabio Pianese, Xueli An, Fahim Kawsar, Hiroki Ishizuka:
Discovering and predicting user routines by differential analysis of social network traces. WOWMOM 2013: 1-9 - 2012
- [j5]Jong Hyuk Park, Isaac Woungang, Jianhua Ma, Fahim Kawsar:
Ubiquitous computing for communications and broadcasting. Int. J. Commun. Syst. 25(6): 689-690 (2012) - [c30]Fahim Kawsar, Chris Speed, Alexander Kröner, Jens Haupert, Thomas Plötz, Daniel Schreiber:
Digital Object Memories for the Internet of Things (DOMe-Iot). UbiComp 2012: 1156-1159 - [c29]Alexander Kröner, Jens Haupert, Chris Speed, Fahim Kawsar, Thomas Plötz, Daniel Schreiber:
Digital object memories for the internet of things (DOMe-IoT). UbiComp 2012: 1189-1192 - [c28]Jo Vermeulen, Fahim Kawsar, Adalberto Lafcadio Simeone, Gerd Kortuem, Kris Luyten, Karin Coninx:
Informing the design of situated glyphs for a care facility. VL/HCC 2012: 89-96 - [p1]Tatsuo Nakajima, Fahim Kawsar:
Designing Ambient and Personalised Displays to Encourage Healthier Lifestyles. Handbook of Ambient Assisted Living 2012: 389-407 - [e1]Juan Carlos Augusto, Vassilis Bourdakis, Daniela Braga, Simon Egerton, Kaori Fujinami, Gordon Hunter, Fahim Kawsar, Ahmad Lotfi, Davy Preuveneers, Abdul Wahab bin Abdul Rahman, Víctor Zamudio:
The 9th International Conference on Intelligent Environments, Athens, Greece, June 18-19, 2013 (workshops on 16-17 July 2013). IEEE 2012 [contents] - 2011
- [j4]Zili Shao, Fahim Kawsar:
Special issue: Design and optimization for embedded and real-time computing systems and applications. J. Syst. Archit. 57(6): 571-572 (2011) - [c27]Johan Criel, Marjan Geerts, Laurence Claeys, Fahim Kawsar:
Empowering Elderly End-Users for Ambient Programming: The Tangible Way. GPC 2011: 94-104 - [c26]Geert Vanderhulst, Fahim Kawsar, Johan Criel, Lieven Trappeniers:
Prototyping Smart Objects for the Mass. HPCC 2011: 995-1000 - [c25]Chi Harold Liu, Alexander Kröner, Chris Speed, Pan Hui, Fahim Kawsar, Wenjie Wang, Dan Wang, Thomas Plötz, Boris Brandherm, Michael Schneider, Jens Haupert, Peter Stephan:
International workshop on networking and object memories for the internet of things (NOMe-IoT 2011). UbiComp 2011: 621-622 - [c24]Fahim Kawsar, Jo Vermeulen, Kevin Smith, Kris Luyten, Gerd Kortuem:
Exploring the Design Space for Situated Glyphs to Support Dynamic Work Environments. Pervasive 2011: 70-78 - 2010
- [j3]Gerd Kortuem, Fahim Kawsar, Vasughi Sundramoorthy, Daniel Fitton:
Smart Objects as Building Blocks for the Internet of Things. IEEE Internet Comput. 14(1): 44-51 (2010) - [j2]Fahim Kawsar, Kaori Fujinami, Tatsuo Nakajima, Jong Hyuk Park, Sang-Soo Yeo:
A portable toolkit for supporting end-user personalization and control in context-aware applications. Multim. Tools Appl. 47(3): 409-432 (2010) - [j1]Fahim Kawsar, Tatsuo Nakajima, Jong Hyuk Park, Sang-Soo Yeo:
Design and implementation of a framework for building distributed smart object systems. J. Supercomput. 54(1): 4-28 (2010) - [c23]Michael Schneider, Alexander Kröner, Peter Stephan, Thomas Plötz, Fahim Kawsar, Gerd Kortuem:
Digital object memories in the internet of things workshop: (DOME-IoT 2010). UbiComp (Adjunct Papers) 2010: 527-530 - [c22]Fahim Kawsar, Gerd Kortuem, Bashar Altakrouri:
Designing Pervasive Interactions for Ambient Guidance with Situated Flows. Web Intelligence/IAT Workshops 2010: 371-375 - [c21]Fahim Kawsar, Gerd Kortuem, Bashar Altakrouri:
Supporting interaction with the Internet of Things across objects, time and space. IOT 2010 - [c20]Gerd Kortuem, Fahim Kawsar:
Market-based user innovation in the Internet of Things. IOT 2010 - [c19]Fahim Kawsar, Enrico Rukzio, Gerd Kortuem:
An explorative comparison of magic lens and personal projection for interacting with smart objects. Mobile HCI 2010: 157-160 - [c18]Gerd Kortuem, Fahim Kawsar, Bashar Altakrouri:
Flow-driven ambient guidance. PerCom Workshops 2010: 796-799
2000 – 2009
- 2009
- [c17]Daniel Fitton, Fahim Kawsar, Gerd Kortuem:
Exploring The Design of a Memory Model for Smart Objects. Intelligent Environments (Workshops) 2009: 33-38 - [c16]Fahim Kawsar, Tatsuo Nakajima:
A Document Centric Framework for Building Distributed Smart Object Systems. ISORC 2009: 71-79 - 2008
- [c15]Fahim Kawsar, Shaikh Mostafa Al Masum, Mitsuru Ishizuka:
Text Beautifier: An Affective-Text Tool to Tailor Written Text. AAAI 2008: 1806-1807 - [c14]Kaori Fujinami, Fahim Kawsar:
An Experience with Augmenting a Mirror as a Personal Ambient Display. APCHI 2008: 183-192 - [c13]Fahim Kawsar, Tatsuo Nakajima, Jong Hyuk Park, Young-Sik Jeong:
A Document Based Framework for Smart Object Systems. FGCN (1) 2008: 178-183 - [c12]Fahim Kawsar, Tatsuo Nakajima, Kaori Fujinami:
Deploy spontaneously: supporting end-users in building and enhancing a smart home. UbiComp 2008: 282-291 - [c11]Fahim Kawsar, Tatsuo Nakajima:
End user tool for deploying smart object systems. MobiQuitous 2008 - [c10]Fahim Kawsar, Tatsuo Nakajima, Kaori Fujinami:
A document centric approach for supporting incremental deployment of pervasive applications. MobiQuitous 2008 - 2007
- [c9]Fahim Kawsar, Tatsuo Nakajima:
Persona: a portable tool for augmenting proactive applications with multimodal personalization support. MUM 2007: 160-168 - [c8]Fahim Kawsar, Kaori Fujinami, Tatsuo Nakajima:
A lightweight indoor location model for sentient artefacts using sentient artefacts. SAC 2007: 1624-1631 - [c7]Simo Hosio, Fahim Kawsar, Jukka Riekki, Tatsuo Nakajima:
DroPicks - A Tool for Collaborative Content Sharing Exploiting Everyday Artefacts. UCS 2007: 258-265 - 2006
- [c6]Fahim Kawsar, Kaori Fujinami, Tatsuo Nakajima:
Exploiting Passive Advantages of Sentient Artefacts. UCS 2006: 270-285 - 2005
- [c5]Fahim Kawsar, Kaori Fujinami, Tatsuo Nakajima:
Prottoy: A Middleware for Sentient Environment. EUC 2005: 1165-1176 - [c4]Fahim Kawsar, Kaori Fujinami, Tatsuo Nakajima:
Augmenting everyday life with sentient artefacts. sOc-EUSAI 2005: 141-146 - [c3]Fahim Kawsar, Kaori Fujinami, Tatsuo Nakajima:
Design and Implementation of a Software Infrastructure for Integrating Sentient Artefact. MobiQuitous 2005: 510-512 - [c2]Kaori Fujinami, Fahim Kawsar, Tatsuo Nakajima:
AwareMirror: A Personalized Display Using a Mirror. Pervasive 2005: 315-332 - [c1]Fahim Kawsar, Kaori Fujinami, Tatsuo Nakajima:
Experiences with Developing Context-Aware Applications with Augmented Artefacts. ubiPCMM 2005
Coauthor Index
aka: Nadia Berthouze
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