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2020 – today
- 2024
- [j26]Christina Garcia, Sozo Inoue:
Relabeling for Indoor Localization Using Stationary Beacons in Nursing Care Facilities. Sensors 24(2): 319 (2024) - 2023
- [j25]Muhammad Fikry, Sozo Inoue:
Optimizing Forecasted Activity Notifications with Reinforcement Learning. Sensors 23(14): 6510 (2023) - [j24]Tahera Hossain, Wanggang Shen, Anindya Das Antar, Snehal Prabhudesai, Sozo Inoue, Xun Huan, Nikola Banovic:
A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning. ACM Trans. Comput. Hum. Interact. 30(1): 1-27 (2023) - [c98]Xinyi Min, Haru Kaneko, Sozo Inoue:
Predicting and Analyzing Emotion of Elderly People in Care Facilities. UbiComp/ISWC Adjunct 2023: 457-462 - [c97]Haru Kaneko, Sozo Inoue:
Toward Pioneering Sensors and Features Using Large Language Models in Human Activity Recognition. UbiComp/ISWC Adjunct 2023: 475-479 - [c96]John Noel Victorino, Sozo Inoue, Tomohiro Shibata:
Handling Class Imbalance in Forecasting Parkinson's Disease Wearing-off with Fitness Tracker Dataset. ICONIP (10) 2023: 564-578 - [i6]Haru Kaneko, Sozo Inoue:
Toward Pioneering Sensors and Features Using Large Language Models in Human Activity Recognition. CoRR abs/2306.16017 (2023) - 2022
- [j23]Malikhah, Riyanarto Sarno, Sozo Inoue, M. Syauqi Hanif Ardani, Doni Putra Purbawa, Shoffi Izza Sabilla, Kelly Rossa Sungkono, Chastine Fatichah, Dwi Sunaryono, Arief Bakhtiar, Libriansyah, Cita R. S. Prakoeswa, Damayanti Tinduh, Yetti Hernaningsih:
Detection of Infectious Respiratory Disease Through Sweat From Axillary Using an E-Nose With Stacked Deep Neural Network. IEEE Access 10: 51285-51298 (2022) - [j22]Sozo Inoue:
Editor's Message to Special Issue of Understanding, Technology, and Application of Interaction. J. Inf. Process. 30: 96 (2022) - [c95]Quynh Nguyen Phuong Vu, Paula Lago, Sozo Inoue:
Improving Noise Robustness of Single Sensor Data in Human Activity Recognition With UMAP and Additional Data. ISWC 2022: 109-111 - [e4]Md. Atiqur Rahman Ahad, Sozo Inoue, Daniel Roggen, Kaori Fujinami:
Sensor- and Video-Based Activity and Behavior Computing - Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021), October 22-23, 2021. Smart Innovation, Systems and Technologies 291, Springer 2022, ISBN 978-981-19-0360-1 [contents] - 2021
- [j21]Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue:
Integrating a spoken dialogue system, nursing records, and activity data collection based on smartphones. Comput. Methods Programs Biomed. 210: 106364 (2021) - [j20]Nattaya Mairittha, Tittaya Mairittha, Paula Lago, Sozo Inoue:
CrowdAct: Achieving High-Quality Crowdsourced Datasets in Mobile Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 50:1-50:32 (2021) - [j19]Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue:
On-Device Deep Personalization for Robust Activity Data Collection. Sensors 21(1): 41 (2021) - [c94]Yusuke Nishimura, Tahera Hossain, Akane Sano, Shota Isomura, Yutaka Arakawa, Sozo Inoue:
Toward the Analysis of Office Workers' Mental Indicators Based on Wearable, Work Activity, and Weather Data. ABC 2021: 1-26 - [c93]Kohei Adachi, Paula Lago, Yuichi Hattori, Sozo Inoue:
Using LUPI to Improve Complex Activity Recognition. ABC 2021: 39-55 - [c92]Muhammad Fikry, Nattaya Mairittha, Sozo Inoue:
Modelling Reminder System for Dementia by Reinforcement Learning. ABC 2021: 149-166 - [c91]Kohei Adachi, Sayeda Shamma Alia, Nazmun Nahid, Haru Kaneko, Paula Lago, Sozo Inoue:
Summary of the Bento Packaging Activity Recognition Challenge. ABC 2021: 249-261 - [c90]John Noel Victorino, Yuko Shibata, Sozo Inoue, Tomohiro Shibata:
Understanding Wearing-Off Symptoms in Parkinson's Disease Patients using Wrist-Worn Fitness Tracker and a Smartphone. CENTERIS/ProjMAN/HCist 2021: 684-691 - [c89]Kazunori Oka, Takumi Hirahara, Yasunobu Nohara, Sozo Inoue, Koichi Arimura, Syoji Kobashi, Koji Iihara:
Predictors of Intracerebral Hematoma Enlargement Using Brain CT Images in Emergency Medical Care. CYBCONF 2021: 24-29 - [c88]Sayeda Shamma Alia, Tahera Hossain, Sozo Inoue:
PerMML: A Performance Metric for Multi-layer Dataset. UbiComp/ISWC Adjunct 2021: 285-290 - [c87]Haru Kaneko, Tahera Hossain, Sozo Inoue:
Analysis of Feature Importances for Automatic Generation of Care Records. UbiComp/ISWC Adjunct 2021: 316-321 - [c86]Nhat-Tan Le, Nazmun Nahid, Sozo Inoue:
Transition-points-based Segmentation and Hierarchical Classification for Locomotion and Transportation recognition on Radio-data. UbiComp/ISWC Adjunct 2021: 374-379 - [c85]Sayeda Shamma Alia, Kohei Adachi, Tahera Hossain, Nhat-Tan Le, Haru Kaneko, Paula Lago, Tsuyoshi Okita, Sozo Inoue:
Summary of the Third Nurse Care Activity Recognition Challenge - Can We Do from the Field Data? UbiComp/ISWC Adjunct 2021: 428-433 - [c84]Kazunori Oka, Daisuke Fujita, Yasunobu Nohara, Sozo Inoue, Koichi Arimura, Koji Iihara, Syoji Kobashi:
CNN Based Hierarchical Intracerebral Hematoma Region Extraction Method in Head Thick-Slice CT Images. ICMLC 2021: 1-5 - [c83]Paula Lago, Moe Matsuki, Kohei Adachi, Sozo Inoue:
Using additional training sensors to improve single-sensor complex activity recognition. ISWC 2021: 18-22 - [d2]Sozo Inoue, Sayeda Shamma Alia, Paula Lago, Hiroki Goto, Shingo Takeda:
Nurse Care Activities Datasets: In laboratory and in real field. IEEE DataPort, 2021 - 2020
- [j18]Sozo Inoue:
Editor's Message to Special Issue of Ubiquitous Computing Systems (IX). J. Inf. Process. 28: 666-667 (2020) - [j17]Md Atiqur Rahman Ahad, Trung Ngo Thanh, Anindya Das Antar, Masud Ahmed, Tahera Hossain, Daigo Muramatsu, Yasushi Makihara, Sozo Inoue, Yasushi Yagi:
Wearable Sensor-Based Gait Analysis for Age and Gender Estimation. Sensors 20(8): 2424 (2020) - [j16]Tahera Hossain, Md. Atiqur Rahman Ahad, Sozo Inoue:
A Method for Sensor-Based Activity Recognition in Missing Data Scenario. Sensors 20(14): 3811 (2020) - [c82]Sayeda Shamma Alia, Paula Lago, Sozo Inoue:
MCoMat: a new performance metric for imbalanced multi-layer activity recognition dataset. UbiComp/ISWC Adjunct 2020: 232-237 - [c81]Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue:
Improving activity data collection with on-device personalization using fine-tuning. UbiComp/ISWC Adjunct 2020: 255-260 - [c80]Md. Sadman Siraj, Md. Ahasan Atick Faisal, Omar Shahid, Farhan Fuad Abir, Tahera Hossain, Sozo Inoue, Md Atiqur Rahman Ahad:
UPIC: user and position independent classical approach for locomotion and transportation modes recognition. UbiComp/ISWC Adjunct 2020: 340-345 - [c79]Sayeda Shamma Alia, Paula Lago, Kohei Adachi, Tahera Hossain, Hiroki Goto, Tsuyoshi Okita, Sozo Inoue:
Summary of the 2nd nurse care activity recognition challenge using lab and field data. UbiComp/ISWC Adjunct 2020: 378-383 - [c78]Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue:
Improving fine-tuned question answering models for electronic health records. UbiComp/ISWC Adjunct 2020: 688-691 - [c77]Yuri Tani, Shuichi Fukuda, Yuki Matsuda, Sozo Inoue, Yutaka Arakawa:
WorkerSense: Mobile Sensing Platform for Collecting Physiological, Mental, and Environmental State of Office Workers. PerCom Workshops 2020: 1-6 - [c76]Noriyo Colley, Misuzu Nakamura, Sozo Inoue, Satoshi Kanai, Atsushi Konno, Shunsuke Komizunai, Shinji Ninomiya, Tadayoshi Asaka, Hiroki Mani, Hana Takizawa, Sarina Umesawa, Yuya Taira, Eri Murata:
Hygienic Manipulation Evaluation System during Endotracheal Suctioning using Bilateral Dorsum Manus Total Travel Distance*. SII 2020: 500-503 - [d1]Paula Lago, Shingo Takeda, Kohei Adachi, Sayeda Shamma Alia, Moe Matsuki, Brahim Benaissa, Sozo Inoue, François Charpillet:
Cooking activity dataset with macro and micro activities. IEEE DataPort, 2020 - [i5]Paula Lago, Moe Matsuki, Sozo Inoue:
Achieving Single-Sensor Complex Activity Recognition from Multi-Sensor Training Data. CoRR abs/2002.11284 (2020) - [i4]Paula Lago, Shingo Takeda, Sayeda Shamma Alia, Kohei Adachi, Brahim Bennai, François Charpillet, Sozo Inoue:
A dataset for complex activity recognition withmicro and macro activities in a cooking scenario. CoRR abs/2006.10681 (2020) - [i3]Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda:
Translation Between Waves, wave2wave. CoRR abs/2007.10394 (2020)
2010 – 2019
- 2019
- [j15]Sozo Inoue, Paula Lago, Tahera Hossain, Tittaya Mairittha, Nattaya Mairittha:
Integrating Activity Recognition and Nursing Care Records: The System, Deployment, and a Verification Study. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 86:1-86:24 (2019) - [j14]Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue:
On-Device Deep Learning Inference for Efficient Activity Data Collection. Sensors 19(15): 3434 (2019) - [j13]Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue:
Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care. Sensors 19(17): 3736 (2019) - [j12]Moe Matsuki, Paula Lago, Sozo Inoue:
Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition. Sensors 19(22): 5043 (2019) - [c75]Md Shafiqul Islam, Tsuyoshi Okita, Sozo Inoue:
Evaluation of Transfer Learning for Human Activity Recognition Among Different Datasets. DASC/PiCom/DataCom/CyberSciTech 2019: 854-859 - [c74]Tahera Hossain, Md Shafiqul Islam, Md Atiqur Rahman Ahad, Sozo Inoue:
Human activity recognition using earable device. UbiComp/ISWC Adjunct 2019: 81-84 - [c73]Masud Ahmed, Anindya Das Antar, Tahera Hossain, Sozo Inoue, Md Atiqur Rahman Ahad:
POIDEN: position and orientation independent deep ensemble network for the classification of locomotion and transportation modes. UbiComp/ISWC Adjunct 2019: 674-679 - [c72]Paula Lago, Sayeda Shamma Alia, Shingo Takeda, Tittaya Mairittha, Nattaya Mairittha, Farina Faiz, Yusuke Nishimura, Kohei Adachi, Tsuyoshi Okita, François Charpillet, Sozo Inoue:
Nurse care activity recognition challenge: summary and results. UbiComp/ISWC Adjunct 2019: 746-751 - [c71]Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue:
Optimizing activity data collection with gamification points using uncertainty based active learning. UbiComp/ISWC Adjunct 2019: 761-767 - [c70]Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue:
A dialogue-based annotation for activity recognition. UbiComp/ISWC Adjunct 2019: 768-773 - [c69]Swapnil Sayan Saha, Shafizur Rahman, Zarin Rezwana Ridita Haque, Tahera Hossain, Sozo Inoue, Md Atiqur Rahman Ahad:
Position independent activity recognition using shallow neural architecture and empirical modeling. UbiComp/ISWC Adjunct 2019: 808-813 - [c68]Shingo Takeda, Paula Lago, Tsuyoshi Okita, Sozo Inoue:
Reduction of marker-body matching work in activity recognition using motion capture. UbiComp/ISWC Adjunct 2019: 835-842 - [c67]Trung Ngo Thanh, Yuichi Hattori, Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi, Sozo Inoue, Tahera Hossain:
OU-ISIR Wearable Sensor-based Gait Challenge: Age and Gender. ICB 2019: 1-6 - [c66]Tahera Hossain, Sozo Inoue:
Sensor-Based Daily Activity Understanding in Caregiving Center. PerCom Workshops 2019: 439-440 - [p1]Paula Lago, Shingo Takeda, Tsuyoshi Okita, Sozo Inoue:
MEASURed: Evaluating Sensor-Based Activity Recognition Scenarios by Simulating Accelerometer Measures from Motion Capture. Human Activity Sensing 2019: 135-149 - [e3]Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven:
Human Activity Sensing - Corpus and Applications. Springer 2019, ISBN 978-3-030-13000-8 [contents] - 2018
- [j11]Masaya Inoue, Sozo Inoue, Takeshi Nishida:
Deep recurrent neural network for mobile human activity recognition with high throughput. Artif. Life Robotics 23(2): 173-185 (2018) - [j10]Muneeba Raja, Anja Exler, Samuli Hemminki, Shin'ichi Konomi, Stephan Sigg, Sozo Inoue:
Towards pervasive geospatial affect perception. GeoInformatica 22(1): 143-169 (2018) - [c65]Tahera Hossain, Md Atiqur Rahman Ahad, Tahia Tazin, Sozo Inoue:
Activity Recognition by Using LoRaWAN Sensor. UbiComp/ISWC Adjunct 2018: 58-61 - [c64]Paula Lago, Tsuyoshi Okita, Shingo Takeda, Sozo Inoue:
Improving Sensor-based Activity Recognition Using Motion Capture as Additional Information. UbiComp/ISWC Adjunct 2018: 118-121 - [c63]Moe Matsuki, Sozo Inoue:
Sensing Experiment in a Caregiving Facility for Correlation Analysis of Sleep and Daytime Activities. UbiComp/ISWC Adjunct 2018: 162-165 - [c62]Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue:
A Mobile App for Nursing Activity Recognition. UbiComp/ISWC Adjunct 2018: 400-403 - [c61]Tittaya Mairittha, Tsuyoshi Okita, Sozo Inoue:
Pre-Consulting Dialogue Systems for Telemedicine: Yes/No Intent Classification. UbiComp/ISWC Adjunct 2018: 742-745 - [c60]Shingo Takeda, Tsuyoshi Okita, Paula Lago, Sozo Inoue:
A Multi-Sensor Setting Activity Recognition Simulation Tool. UbiComp/ISWC Adjunct 2018: 1444-1448 - [c59]Tahera Hossain, Yusuke Doi, Tahia Tazin, Md Atiqur Rahman Ahad, Sozo Inoue:
Study of LoRaWAN Technology for Activity Recognition. UbiComp/ISWC Adjunct 2018: 1449-1453 - [c58]Tsuyoshi Okita, Sozo Inoue:
Activity Recognition: Translation across Sensor Modalities Using Deep Learning. UbiComp/ISWC Adjunct 2018: 1462-1471 - [c57]Swapnil Sayan Saha, Shafizur Rahman, Miftahul Jannat Rasna, Tahera Hossain, Sozo Inoue, Md. Atiqur Rahman Ahad:
Supervised and Neural Classifiers for Locomotion Analysis. UbiComp/ISWC Adjunct 2018: 1563-1570 - [c56]Keita Fujino, Sozo Inoue, Tomohiro Shibata:
Machine Learning of User Attentions in Sensor Data Visualization. MobiCASE 2018: 125-143 - [c55]Nattaya Mairittha, Sozo Inoue:
Gamification for High-Quality Dataset in Mobile Activity Recognition. MobiCASE 2018: 216-222 - [c54]Tittaya Mairittha, Tsuyoshi Okita, Sozo Inoue:
Dialogue Breakdown Detection with Long Short Term Memory. MobiCASE 2018: 245-250 - [c53]Paula Lago, Sozo Inoue:
A Hybrid Model Using Hidden Markov Chain and Logic Model for Daily Living Activity Recognition. UCAmI 2018: 1266 - [e2]Kazuya Murao, Ren Ohmura, Sozo Inoue, Yusuke Gotoh:
Mobile Computing, Applications, and Services - 9th International Conference, MobiCASE 2018, Osaka, Japan, February 28 - March 2, 2018, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 240, Springer 2018, ISBN 978-3-319-90739-0 [contents] - 2017
- [c52]Tsuyoshi Okita, Sozo Inoue:
Recognition of multiple overlapping activities using compositional CNN-LSTM model. UbiComp/ISWC Adjunct 2017: 165-168 - [c51]Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven:
5th Int. workshop on human activity sensing corpus and applications (HASCA): towards open-ended context awareness. UbiComp/ISWC Adjunct 2017: 530-536 - [e1]Vicenç Torra, Yasuo Narukawa, Aoi Honda, Sozo Inoue:
Modeling Decisions for Artificial Intelligence - 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings. Lecture Notes in Computer Science 10571, Springer 2017, ISBN 978-3-319-67421-6 [contents] - 2016
- [j9]Sozo Inoue, Naonori Ueda, Yasunobu Nohara, Naoki Nakashima:
Recognizing and Understanding Nursing Activities for a Whole Day with a Big Dataset. J. Inf. Process. 24(6): 853-866 (2016) - [c50]Sozo Inoue, Tatsuya Isoda, Mako Shirouzu, Yasuhiko Sugiyama, Yasunobu Nohara, Naoki Nakashima:
Predicting daily nursing load from nurses' activity logs and patients' medical records. UbiComp Adjunct 2016: 89-92 - [c49]Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven:
4th workshop on human activity sensing corpus and applications: towards open-ended context awareness. UbiComp Adjunct 2016: 690-695 - [c48]Moe Matsuki, Sozo Inoue:
Recognizing unknown activities using semantic word vectors and twitter timestamps. UbiComp Adjunct 2016: 823-830 - [c47]Sozo Inoue, Xincheng Pan:
Supervised and Unsupervised Transfer Learning for Activity Recognition from Simple In-home Sensors. MobiQuitous 2016: 20-27 - [c46]Takamichi Toda, Sozo Inoue, Naonori Ueda:
Mobile Activity Recognition through Training Labels with Inaccurate Activity Segments. MobiQuitous 2016: 57-64 - [c45]Sozo Inoue:
Activity Recognition and Future Prediction in Hospitals. MobiQuitous (Adjunct Proceedings) 2016: 59-65 - [i2]Masaya Inoue, Sozo Inoue, Takeshi Nishida:
Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput. CoRR abs/1611.03607 (2016) - 2015
- [c44]Tatsuya Isoda, Yasunobu Nohara, Sozo Inoue, Mako Shirouzu, Yasuhiko Sugiyama, Mari Hirata, Kyoko Machida, Naoki Nakashima:
Experiment for nursing activity analysis using mobile sensors and proximity sensors. UbiComp/ISWC Adjunct 2015: 153-156 - [c43]Atsushi Taniguchi, Sozo Inoue:
A method for automatic assessment of user-generated tests and its evaluation. UbiComp/ISWC Adjunct 2015: 225-228 - [c42]Sozo Inoue, Naonori Ueda, Yasunobu Nohara, Naoki Nakashima:
Mobile activity recognition for a whole day: recognizing real nursing activities with big dataset. UbiComp 2015: 1269-1280 - [c41]Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas:
International workshop on human activity sensing corpus and its application (HASCA2015). UbiComp/ISWC Adjunct 2015: 1399-1403 - [c40]Xincheng Pan, Tomohiro Minezaki, Tatsuya Isoda, Shota Tanaka, Yuri Uchino, Sozo Inoue:
Analyzing daily-life activities and power consumptions using tablet sensors and activity annotation web system. UbiComp/ISWC Adjunct 2015: 1443-1452 - [c39]Yong Ding, Martin Alexander Neumann, Erwin Stamm, Michael Beigl, Sozo Inoue, Xincheng Pan:
A personalized load forecasting enhanced by activity information. ISC2 2015: 1-6 - [c38]Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima:
Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. KDD 2015: 1681-1690 - [i1]Stephan Sigg, Sozo Inoue:
Challenges for real-time human activity recognition (NII Shonan Meeting 2015-12). NII Shonan Meet. Rep. 2015 (2015) - 2014
- [c37]Eiko Kai, Andrew Rebeiro-Hargrave, Sozo Inoue, Yasunobu Nohara, Rafiqul Islam Maruf, Naoki Nakashima, Ashir Ahmed:
Empowering the Healthcare Worker Using the Portable Health Clinic. AINA 2014: 759-764 - [c36]Ashir Ahmed, Andrew Rebeiro-Hargrave, Rafiqul Islam Maruf, Sozo Inoue, Naoki Nakashima:
Applicability of Portable Health Clinic to Ageing Society. HCI (21) 2014: 533-544 - [c35]Nobuo Kawaguchi, Sozo Inoue, Nobuhiko Nishio, Susanna Pirttikangas, Daniel Roggen:
International workshop on human activity sensing corpus and its application (HASCA2014). UbiComp Adjunct 2014: 715-719 - [c34]Tatsuya Isoda, Shuji Kutsuna, Sozo Inoue, Masato Kawano:
Room exit recognition using mobile accelerometers and illuminometers. UbiComp Adjunct 2014: 731-735 - [c33]Naoto Migita, Sozo Inoue, Takuya Yumiyama, Takeshi Nishida:
A method for tracking on-body sensor positions utilizing prior knowledge. UbiComp Adjunct 2014: 757-766 - [c32]Takamichi Toda, Naonori Ueda, Sozo Inoue, Shota Tanaka:
Training human activity recognition for labels with inaccurate time stamps. UbiComp Adjunct 2014: 863-872 - [c31]Eiko Kai, Ashir Ahmed, Sozo Inoue, Atsushi Taniguchi, Naoki Nakashima, Yasunobu Nohara, Masaru Kitsuregawa:
Evolving health consultancy by predictive caravan health sensing in developing countries. UbiComp Adjunct 2014: 1225-1232 - [c30]Ghada Farouk Naiem, Sozo Inoue:
A Method for Assessing User-generated Tests for Online Courses Exploiting Crowdsourcing Concept. IWWISS 2014: 15:1-15:6 - 2013
- [j8]Takeshi Nishida, Sozo Inoue, Shinichi Sagara:
State estimation of mobile robot using GPS signal that includes reflected and diffracted waves. Artif. Life Robotics 18(3-4): 178-186 (2013) - [c29]Ashir Ahmed, Lutfe Kabir, Eiko Kai, Sozo Inoue:
GramHealth: A bottom-up approach to provide preventive healthcare services for unreached community. EMBC 2013: 1668-1671 - [c28]Ashir Ahmed, Sozo Inoue, Eiko Kai, Naoki Nakashima, Yasunobu Nohara:
Portable Health Clinic: A Pervasive Way to Serve the Unreached Community for Preventive Healthcare. HCI (25) 2013: 265-274 - [c27]Sozo Inoue, Kousuke Hayashida, Masato Nakamura, Yasunobu Nohara, Naoki Nakashima:
Capturing Nursing Interactions from Mobile Sensor Data and In-Room Sensors. HCI (11) 2013: 280-289 - [c26]Takamichi Toda, Sozo Inoue, Lin Li:
Parallel, distributed, and differential processing system for human activity sensing flows. UbiComp (Adjunct Publication) 2013: 689-700 - [c25]Naoki Nakashima, Yasunobu Nohara, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Partha Pratim Ghosh, Rafiqul Islam Maruf, Tatsuo Hiramatsu, Kunihisa Kobayashi, Toyoshi Inoguchi, Masaru Kitsuregawa:
An Affordable, Usable and Sustainable Preventive Healthcare System for Unreached People in Bangladesh. MedInfo 2013: 1051 - [c24]Yasunobu Nohara, Naoki Nakashima, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Partha Pratim Ghosh, Rafiqul Islam Maruf, Tatsuo Hiramatsu:
Portable Health Clinic Packages for Base of Pyramid. MedInfo 2013: 1268 - 2012
- [j7]Yuichi Hattori, Sozo Inoue:
A Large Scale Gathering System for Activity Data using Mobile Devices. Inf. Media Technol. 7(1): 458-465 (2012) - [j6]Yuichi Hattori, Sozo Inoue:
A Large Scale Gathering System for Activity Data using Mobile Devices. J. Inf. Process. 20(1): 177-184 (2012) - [c23]Yuichi Hattori, Shota Tanaka, Sozo Inoue:
Hierarchical Annotation Management Method for Activity Information Collecting System. BWCCA 2012: 662-667 - 2011
- [j5]Sozo Inoue, Yasunobu Nohara, Takemori Masaki, Kozo Sakuragawa:
Location Recognition in RFID Bookshelves. IEICE Trans. Inf. Syst. 94-D(6): 1147-1152 (2011) - [c22]Nobuo Kawaguchi, Nobuhiro Ogawa, Yohei Iwasaki, Katsuhiko Kaji, Tsutomu Terada, Kazuya Murao, Sozo Inoue, Yoshihiro Kawahara, Yasuyuki Sumi, Nobuhiko Nishio:
HASC Challenge: gathering large scale human activity corpus for the real-world activity understandings. AH 2011: 27 - [c21]Yuichi Hattori, Sozo Inoue, Go Hirakawa:
Visualization for Activity Information Sharing System Using Self-Organizing Map. BWCCA 2011: 537-542 - [c20]Nobuo Kawaguchi, Ying Yang, Tianhui Yang, Nobuhiro Ogawa, Yohei Iwasaki, Katsuhiko Kaji, Tsutomu Terada, Kazuya Murao, Sozo Inoue, Yoshihiro Kawahara, Yasuyuki Sumi, Nobuhiko Nishio:
HASC2011corpus: towards the common ground of human activity recognition. UbiComp 2011: 571-572 - [c19]Go Hirakawa, Thin Thin Nwe, Yuichi Hattori, Sozo Inoue:
Implementation of Activity Recognition from Accelerometers on Mobile Phones. INCoS 2011: 346-347 - [c18]Yuichi Hattori, Sozo Inoue, Go Hirakawa:
A Large Scale Gathering System for Activity Data with Mobile Sensors. ISWC 2011: 97-100 - [c17]Sozo Inoue, Yuichi Hattori:
Toward High-Level Activity Recognition from Accelerometers on Mobile Phones. iThings/CPSCom 2011: 225-231 - [c16]Go Hirakawa, Yuichi Hattori, Masato Nakamura, Sozo Inoue:
Activity Information Sharing System with Video and Acceleration Data. PECCS 2011: 557-561 - [c15]Akio Terumoto, Sozo Inoue, Yuichi Hattori:
Benchmarking 'Radio Exercises' recognition with a three-axis accelerometer. SMC 2011: 41-45 - 2010
- [c14]Yuichi Hattori, Sozo Inoue, Takemori Masaki, Go Hirakawa, Osamu Sudoh:
Gathering Large Scale Human Activity Information Using Mobile Sensor Devices. BWCCA 2010: 708-713 - [c13]Yasunobu Nohara, Sozo Inoue:
A secure and scalable identification for hash-based RFID systems using updatable pre-computation. WISEC 2010: 65-74
2000 – 2009
- 2009
- [j4]Yasunobu Nohara, Sozo Inoue:
An Efficient Identification and Indexing for Secure RFID with d-Left Hashing. Inf. Media Technol. 4(4): 1034-1039 (2009) - 2008
- [c12]Yasunobu Nohara, Sozo Inoue, Hiroto Yasuura:
A Secure High-Speed Identification Scheme for RFID Using Bloom Filters. ARES 2008: 717-722 - [c11]Osamu Sudoh, Sozo Inoue, Naoki Nakashima:
eService Innovation and Sensor Based Healthcare. II3E 2008: 1-14 - 2007
- [c10]Yasunobu Nohara, Sozo Inoue, Hiroto Yasuura:
Unlinkability and Real World Constraints in RFID Systems. PerCom Workshops 2007: 371-376 - 2006
- [j3]Yasunobu Nohara, Toru Nakamura, Kensuke Baba, Sozo Inoue, Hiroto Yasuura:
Unlinkable Identification for Large-scale RFID Systems. Inf. Media Technol. 1(2): 1182-1190 (2006) - [j2]Shin'ichi Konomi, Sozo Inoue, Takashi Kobayashi, Masashi Tsuchida, Masaru Kitsuregawa:
Supporting Colocated Interactions Using RFID and Social Network Displays. IEEE Pervasive Comput. 5(3): 48-56 (2006) - [c9]Sozo Inoue, Hiroto Yasuura, Daisuke Hagiwara:
Systematic Error Detection for RFID Reliability. ARES 2006: 280-286 - [c8]Takahiro Watanabe, Yasunobu Nohara, Kensuke Baba, Sozo Inoue, Hiroto Yasuura:
On Authentication between Human and Computer. PerCom Workshops 2006: 636-639 - [c7]Sozo Inoue, Akihiko Sonoda, Ken'ichiro Oka, Shin'ichiro Fujisaki:
Triage with RFID Tags. PervasiveHealth 2006: 1-7 - 2005
- [c6]Takahiro Watanabe, Sozo Inoue, Hiroto Yasuura, Jun Sasaki, Yasushi Aoki, Kazumi Akimoto:
An RFID-based multi-service system for supporting conference events. AMT 2005: 435-439 - [c5]Yasunobu Nohara, Sozo Inoue, Hiroto Yasuura:
Toward Unlinkable ID Management for Multi-Service Environments. PerCom Workshops 2005: 115-119 - [c4]Yasunobu Nohara, Sozo Inoue, Kensuke Baba, Hiroto Yasuura:
Quantitative evaluation of unlinkable ID matching schemes. WPES 2005: 55-60 - 2002
- [j1]Yusuke Nonaka, Sozo Inoue, Katsuhiko Hatano, Tsutomu Harada, Yoshinari Nomura, Mizuho Iwaihara, Tsunenori Mine, Kazuo Ushijima:
Development and operation of a document database for university research and education activities. Syst. Comput. Jpn. 33(10): 41-53 (2002) - [c3]Sozo Inoue, Mizuho Iwaihara:
Supporting Dynamic Process Specifications Using Communication-Based Processes. HICSS 2002: 289
1990 – 1999
- 1999
- [c2]Sozo Inoue, Mizuho Iwaihara:
Adapting Transactions to Exceptional Situations Using Structured Messages. DANTE 1999: 351-358 - 1998
- [c1]Sozo Inoue, Mizuho Iwaihara:
Structured Message Management for Group Interaction. ER Workshops 1998: 396-407
Coauthor Index
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