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2020 – today
- 2024
[j44]Heng Zhou
, Takuya Maekawa:
Predicting Signal Reception Information from GNSS Satellites in Indoor Environments without Site Survey: Towards Opportunistic Indoor Positioning Based on GNSS Fingerprinting. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 105:1-105:30 (2024)- [j43]Takuya Maekawa:
Editor's Message to Special Issue of Ubiquitous Computing Systems (XII). J. Inf. Process. 32: 861-862 (2024) - [j42]Teerawat Kumrai, Zesheng Cai, Takuya Maekawa, Takahiro Hara, Kazuya Ohara, Tomoki Murakami, Hirantha Abeysekera:
AoA-net: Estimating Angle-of-arrival Using Wi-Fi Channel State Information Based on Deep Neural Networks with Subcarrier Selection. J. Inf. Process. 32: 863-872 (2024) - [c97]Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara:
Artifact: OpenPack: A Large-scale Dataset for Recognizing Packaging Works in Logistic Environments. PerCom Workshops 2024: 1-2 - [c96]Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara:
OpenPack: A Large-Scale Dataset for Recognizing Packaging Works in IoT-Enabled Logistic Environments. PerCom 2024: 90-97 - [c95]Qingxin Xia, Takuya Maekawa, Jaime Morales, Takahiro Hara, Hirotomo Oshima, Masamitsu Fukuda, Yasuo Namioka:
Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL. PerCom Workshops 2024: 465-468 - [i5]Qingxin Xia, Takuya Maekawa, Jaime Morales, Takahiro Hara, Hirotomo Oshima, Masamitsu Fukuda, Yasuo Namioka:
Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL. CoRR abs/2404.13581 (2024) - 2023
- [j41]Jaime Morales, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, Takuya Maekawa:
MGA-Net+: Acceleration-based packaging work recognition using motif-guided attention networks. Pervasive Mob. Comput. 88: 101735 (2023) - [j40]Teerawat Kumrai, Joseph Korpela, Yizhe Zhang, Kazuya Ohara, Tomoki Murakami, Hirantha Abeysekera, Takuya Maekawa:
Automated construction of Wi-Fi-based indoor logical location predictor using crowd-sourced photos with Wi-Fi signals. Pervasive Mob. Comput. 89: 101742 (2023) - [c94]Hao Niu, Duc V. Nguyen, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning. ICDAR@ICMR 2023: 37-45 - [c93]Takuya Maekawa, Qingxin Xia, Ryoma Otsuka, Naoya Yoshimura, Kei Tanigaki:
Recent Trends in Sensor-based Activity Recognition. MDM 2023: 36-38 - [c92]Thilina Dissanayake, Takuya Maekawa, Takahiro Hara:
Joint Estimation of the Distance and Relative Velocity of Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety. PERCOM 2023: 32-42 - [c91]Yuuki Nishino, Takuya Maekawa, Takahiro Hara:
Detecting Repetitive Human Actions by Neural Networks Trained on Composite Data Only. PerCom Workshops 2023: 188-193 - [c90]Qingxin Xia, Takahiro Hara, Takuya Maekawa, Mori Kurokawa, Kei Yonekawa:
An Effective and Efficient Self-Attention Based Model for Next POI Recommendation. PerCom Workshops 2023: 478-483 - [i4]Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione, Daniela Canestrari, Damien Chevallier, Dominic L. DeSantis, Lorène Jeantet, Monique A. Ladds, Takuya Maekawa, Vicente Mata-Silva, Víctor Moreno-González, Eva Trapote, Outi Vainio, Antti Vehkaoja, Ken Yoda, Katherine Zacarian, Ari Friedlaender, Christian Rutz:
A benchmark for computational analysis of animal behavior, using animal-borne tags. CoRR abs/2305.10740 (2023) - [i3]Qingxin Xia, Takuya Maekawa, Takahiro Hara:
Unsupervised Human Activity Recognition through Two-stage Prompting with ChatGPT. CoRR abs/2306.02140 (2023) - 2022
- [j39]Yuuki Nishino, Takuya Maekawa, Takahiro Hara:
Few-Shot and Weakly Supervised Repetition Counting With Body-Worn Accelerometers. Frontiers Comput. Sci. 4 (2022) - [j38]Naoya Yoshimura, Takuya Maekawa, Takahiro Hara, Atsushi Wada:
Acceleration-based Activity Recognition of Repetitive Works with Lightweight Ordered-work Segmentation Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 86:1-86:39 (2022) - [j37]Kei Tanigaki, Tze Chuin Teoh, Naoya Yoshimura, Takuya Maekawa, Takahiro Hara:
Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 142:1-142:33 (2022) - [j36]Heng Zhou, Takuya Maekawa:
GPS-assisted Indoor Pedestrian Dead Reckoning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 166:1-166:36 (2022) - [j35]Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Mori Kurokawa:
HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce. Knowl. Based Syst. 255: 109674 (2022) - [c89]Qingxin Xia, Takahiro Hara, Takuya Maekawa:
Location Representations for Accelerating the Training of Next POI Recommender System. UbiComp/ISWC Adjunct 2022: 133-135 - [c88]Jaime Morales, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, Takuya Maekawa:
Acceleration-based Human Activity Recognition of Packaging Tasks Using Motif-guided Attention Networks. PerCom 2022: 1-12 - [i2]Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara:
OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments. CoRR abs/2212.11152 (2022) - 2021
- [j34]Taiki Miyanishi, Takuya Maekawa, Motoaki Kawanabe:
Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events. IEEE Access 9: 75003-75020 (2021) - [j33]Akira Uchiyama, Shunsuke Saruwatari, Takuya Maekawa, Kazuya Ohara, Teruo Higashino:
Context Recognition by Wireless Sensing: A Comprehensive Survey. J. Inf. Process. 29: 46-57 (2021) - [j32]Cheng Chen, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Predicting Next-use Mobile Apps Using App Semantic Representations. J. Inf. Process. 29: 597-609 (2021) - [c87]Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, Ken Yoda, Masakazu Ishihata, Takuya Maekawa:
Fréchet Kernel for Trajectory Data Analysis. SIGSPATIAL/GIS 2021: 221-224 - [c86]Naoya Yoshimura, Takuya Maekawa, Takahiro Hara:
Toward Understanding Acceleration-based Activity Recognition Neural Networks with Activation Maximization. IJCNN 2021: 1-8 - [c85]Yihong Zhang, Takuya Maekawa, Takahiro Hara:
Using Social Media Background to Improve Cold-Start Recommendation Deep Models. IJCNN 2021: 1-8 - [c84]Yuuki Nishino, Takuya Maekawa, Takahiro Hara:
WeakCounter: Acceleration-based Repetition Counting of Actions with Weakly Supervised Learning. ISWC 2021: 144-146 - [c83]Qingxin Xia, Atsushi Wada, Takanori Yoshii, Yasuo Namioka, Takuya Maekawa:
Comparative Analysis of High- and Low-Performing Factory Workers with Attention-Based Neural Networks. MobiQuitous 2021: 469-480 - [c82]Yuka Tanno, Takuya Maekawa, Takahiro Hara:
Wi-Fi CSI-Based Activity Recognition with Adaptive Sampling Rate Selection. MobiQuitous 2021: 507-512 - [c81]Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
Concept Drift Detection with Denoising Autoencoder in Incomplete Data. MobiQuitous 2021: 541-552 - [c80]Yiming Tian, Takuya Maekawa, Takahiro Hara, Yojiro Yokomori, Takashi Kitagawa:
NaviMine: A tool for mining trajectories through behavior prediction. PerCom Workshops 2021: 502-507 - [i1]Yihong Zhang, Takuya Maekawa, Takahiro Hara:
Using Social Media Background to Improve Cold-start Recommendation Deep Models. CoRR abs/2106.02256 (2021) - 2020
- [j31]Boqi Gao, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Detecting Reinforcement Learning-Based Grey Hole Attack in Mobile Wireless Sensor Networks. IEICE Trans. Commun. 103-B(5): 504-516 (2020) - [j30]Qingxin Xia, Joseph Korpela, Yasuo Namioka, Takuya Maekawa:
Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 97:1-97:30 (2020) - [j29]Boqi Gao, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
Detecting Energy Depriving Malicious Nodes by Unsupervised Learning in Energy Harvesting Cooperative Wireless Sensor Networks. J. Inf. Process. 28: 689-698 (2020) - [c79]Taiki Miyanishi, Takuya Maekawa, Motoaki Kawanabe:
Two-Stream Spatiotemporal Compositional Attention Network for VideoQA. BMVC 2020 - [c78]Teerawat Kumrai, Joseph Korpela, Takuya Maekawa, Yen Yu, Ryota Kanai:
Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot. PerCom 2020: 1-10 - [c77]Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
On the Transferability of Deep Neural Networks for Recommender System. IAL@PKDD/ECML 2020: 22-37 - [c76]Changzeng Fu, Thilina Dissanayake, Kazufumi Hosoda, Takuya Maekawa, Hiroshi Ishiguro:
Similarity of Speech Emotion in Different Languages Revealed by a Neural Network with Attention. ICSC 2020: 381-386 - [c75]Masayuki Fujiwara, Tomoya Nakatani, Yiming Tian, Joseph Korpela, Takuya Maekawa, Takahiro Hara:
Smartphone-assisted Automatic Indoor Localization of BLE-enabled Appliances Using BLE and GNSS Signals. BuildSys 2020: 80-89
2010 – 2019
- 2019
- [j28]Koichi Hashimoto, Yuichi Tsumaki, Takuya Maekawa, Shizuko Hiryu:
Preface: special issue on systems science of bio-navigation. Adv. Robotics 33(3-4): 107 (2019) - [j27]Qingxin Xia, Atsushi Wada, Joseph Korpela, Takuya Maekawa, Yasuo Namioka:
Unsupervised Factory Activity Recognition with Wearable Sensors Using Process Instruction Information. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 60:1-60:23 (2019) - [c74]Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction. IEEE BigData 2019: 5611-5619 - [c73]Masakazu Yoshimura, Murilo M. Marinho, Atsushi Nakazawa, Kanako Harada, Mamoru Mitsuishi, Takuya Maekawa, Yasuo Namioka:
Towards Overhead Semantic Part Segmentation of Workers in Factory Environments from Depth Images using a FCN. CBS 2019: 204-209 - [c72]Yasuhiro Kirihata, Takuya Maekawa, Takashi Onoyama:
A Causality Analysis for Nonlinear Classification Model with Self-Organizing Map and Locally Approximation to Linear Model. ICAART (2) 2019: 419-426 - [c71]Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks. ICDCS 2019: 1983-1993 - [c70]Naoya Yoshimura, Takuya Maekawa, Takahiro Hara:
Preliminary Investigation of Visualizing Human Activity Recognition Neural Network. ICMU 2019: 1-2 - [c69]Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting. PAKDD (Workshops) 2019: 274-285 - [c68]Cheng Chen, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Preliminary Investigation of Predicting Next-Use Mobile Apps Using App Semantic Representations. PerCom Workshops 2019: 391-394 - [c67]Tomoya Nakatani, Ryohei Kuga, Takuya Maekawa:
Object-based Activity Recognition Using Egocentric Video Based on Web Knowledge. PerCom Workshops 2019: 620-625 - [c66]Toshimitsu Kamiya, Tatsuya Nakamura, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Estimating User Contexts from Mobile Application Usage Histories. PerCom Workshops 2019: 765-770 - [c65]Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa:
Behavior Matching between Different Domains based on Canonical Correlation Analysis. WWW (Companion Volume) 2019: 361-366 - [c64]Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa:
Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System. WWW (Companion Volume) 2019: 398-403 - 2018
- [j26]Osamu Ammae, Joseph Korpela, Takuya Maekawa:
Unobtrusive detection of body movements during sleep using Wi-Fi received signal strength with model adaptation technique. Future Gener. Comput. Syst. 78: 616-625 (2018) - [j25]Tomoya Nakatani, Takuya Maekawa, Masumi Shirakawa, Takahiro Hara:
Estimating the Physical Distance between Two Locations with Wi-Fi Received Signal Strength Information Using Obstacle-aware Approach. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 130:1-130:26 (2018) - [j24]Thilina Dissanayake, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Detecting Door Events Using a Smartphone via Active Sound Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 160:1-160:26 (2018) - [j23]Joseph Korpela, Takuya Maekawa:
Privacy preserving recognition of object-based activities using near-infrared reflective markers. Pers. Ubiquitous Comput. 22(2): 365-377 (2018) - [c63]Taiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe:
Generating an Event Timeline About Daily Activities From a Semantic Concept Stream. AAAI 2018: 142-150 - [c62]Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning. IEEE BigData 2018: 4762-4767 - [c61]Kazuya Ohara, Takuya Maekawa:
Easy-to-Install Methods for Indoor Context Recognition Using Wi-Fi Signals. HCI (22) 2018: 112-124 - [c60]Boqi Gao, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Environment-Adaptive Malicious Node Detection in MANETs with Ensemble Learning. ICDCS 2018: 556-566 - [c59]Tomoya Nakatani, Ryohei Kuga, Takuya Maekawa:
Preliminary Investigation of Object-based Activity Recognition Using Egocentric Video Based on Web Knowledge. MUM 2018: 375-381 - [c58]Kazuya Ohara, Takuya Maekawa, Stephan Sigg, Moustafa Youssef:
Preliminary Investigation of Position Independent Gesture Recognition Using Wi-Fi CSI. PerCom Workshops 2018: 480-483 - [c57]Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Preliminary Investigation of Fine-Grained Gesture Recognition With Signal Super-Resolution. PerCom Workshops 2018: 484-487 - [c56]Thilina Dissanayake, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Preliminary Investigation of Detecting Events of Indoor Objects with Smartphone Active Sound Sensing. PerCom Workshops 2018: 500-503 - 2017
- [j22]Kazuya Ohara, Takuya Maekawa, Yasuyuki Matsushita:
Detecting State Changes of Indoor Everyday Objects using Wi-Fi Channel State Information. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 88:1-88:28 (2017) - [j21]Yasuo Namioka, Akira Masuda, Takuya Maekawa:
Unconstrained Person Identification from Ceiling Using Multiview Learning for Tabletop Users. J. Inf. Process. 25: 889-900 (2017) - [j20]Yasuo Namioka, Daisuke Nakai, Kazuya Ohara, Takuya Maekawa:
Automatic Measurement of Lead Time of Repetitive Assembly Work in a Factory Using a Wearable Sensor. J. Inf. Process. 25: 901-911 (2017) - [j19]Taisei Hayashi, Daisuke Taniuchi, Joseph Korpela, Takuya Maekawa:
Spatio-temporal adaptive indoor positioning using an ensemble approach. Pervasive Mob. Comput. 41: 319-332 (2017) - [j18]Takuya Maekawa, Naomi Yamashita, Yasushi Sakurai:
How Well Can a User's Location Privacy Preferences be Determined Without Using GPS Location Data? IEEE Trans. Emerg. Top. Comput. 5(4): 526-539 (2017) - [c55]Takuya Maekawa, Yuki Sakumichi:
Easy to Install Indoor Positioning System that Parasitizes Home Lighting. AmI 2017: 124-129 - [c54]Masumi Shirakawa, Takahiro Hara, Takuya Maekawa:
Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem. EMNLP 2017: 2358-2367 - [c53]Murilo M. Marinho, Yuki Yatsushima, Takuya Maekawa, Yasuo Namioka:
Preliminary Evaluation of a Framework for Overhead Skeleton Tracking in Factory Environments using Kinect. iWOAR 2017: 12:1-12:6 - [c52]Takuya Maekawa:
Good pervasive computing studies require laborious data labeling efforts: Our experience in activity recognition and indoor positioning studies. PerCom Workshops 2017: 1 - [c51]Hiroaki Santo, Takuya Maekawa, Yasuyuki Matsushita:
Device-free and privacy preserving indoor positioning using infrared retro-reflection imaging. PerCom 2017: 141-152 - 2016
- [j17]Akira Masuda, Kun Zhang, Takuya Maekawa:
Sonic Home: Environmental Sound Collection Game for Human Activity Recognition. J. Inf. Process. 24(2): 203-210 (2016) - [j16]Akira Masuda, Takuya Maekawa:
Estimating Physical Characteristics with Body-worn Accelerometers Based on Activity Similarities. J. Inf. Process. 24(2): 237-246 (2016) - [j15]Joseph Korpela, Ryosuke Miyaji, Takuya Maekawa, Kazunori Nozaki, Hiroo Tamagawa:
Toothbrushing Performance Evaluation Using Smartphone Audio Based on Hybrid HMM-recognition/SVM-regression Model. J. Inf. Process. 24(2): 302-313 (2016) - [c50]Taiki Miyanishi, Junichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya, Takayuki Suyama:
Egocentric Video Search via Physical Interactions. AAAI 2016: 330-337 - [c49]Quan Kong, Takuya Maekawa, Taiki Miyanishi, Takayuki Suyama:
Selecting home appliances with smart glass based on contextual information. UbiComp 2016: 97-108 - [c48]Masaya Tachikawa, Takuya Maekawa, Yasuyuki Matsushita:
Predicting location semantics combining active and passive sensing with environment-independent classifier. UbiComp 2016: 220-231 - [c47]Takuya Maekawa, Daisuke Nakai, Kazuya Ohara, Yasuo Namioka:
Toward practical factory activity recognition: unsupervised understanding of repetitive assembly work in a factory. UbiComp 2016: 1088-1099 - [c46]Takuya Maekawa, Akira Masuda, Yasuo Namioka:
Identification from ceiling: unconstrained person identification for tabletops using multiview learning. MUM 2016: 273-284 - [c45]Takuya Maekawa, Yuki Sakumichi:
Initial investigation of indoor positioning system that parasitizes home lighting. MUM 2016: 319-321 - [c44]Joseph Korpela, Takuya Maekawa, Julien Eberle, Dipanjan Chakraborty, Karl Aberer:
Tree-structured classifier for acceleration-based activity and gesture recognition on smartwatches. PerCom Workshops 2016: 1-4 - [c43]Akira Masuda, Takuya Maekawa, Yasuo Namioka:
Preliminary investigation of unconstrained person identification for tabletops using soft biometrics. PerCom Workshops 2016: 1-4 - [c42]Daisuke Nakai, Takuya Maekawa, Yasuo Namioka:
Towards unsupervised measurement of assembly work cycle time by using wearable sensor. PerCom Workshops 2016: 1-4 - 2015
- [j14]Quang Thang Duong, Takuya Maekawa, Takeshi Higashino, Minoru Okada:
Dynamic charging using parallel line feeder with hybrid inductive-capacitive coupling and receiver-side load control. IEICE Electron. Express 12(23): 20150854 (2015) - [j13]Daisuke Taniuchi, Xiaopeng Liu, Daisuke Nakai, Takuya Maekawa:
Spring Model Based Collaborative Indoor Position Estimation With Neighbor Mobile Devices. IEEE J. Sel. Top. Signal Process. 9(2): 268-277 (2015) - [j12]Daisuke Taniuchi, Takuya Maekawa:
Automatic Update of Indoor Location Fingerprints with Pedestrian Dead Reckoning. ACM Trans. Embed. Comput. Syst. 14(2): 27:1-27:23 (2015) - [c41]Joseph Korpela, Ryosuke Miyaji, Takuya Maekawa, Kazunori Nozaki, Hiroo Tamagawa:
Evaluating tooth brushing performance with smartphone sound data. UbiComp 2015: 109-120 - [c40]Kazuya Ohara, Takuya Maekawa, Yasue Kishino, Yoshinari Shirai, Futoshi Naya:
Transferring positioning model for device-free passive indoor localization. UbiComp 2015: 885-896 - [c39]Takuya Maekawa, Quang Thang Duong, Takeshi Higashino, Minoru Okada:
A proposal of electromagnetic coupling for parallel line fed wireless power transfer. ISCIT 2015: 77-80 - [c38]Joseph Korpela, Kazuyuki Takase, Takahiro Hirashima, Takuya Maekawa, Julien Eberle, Dipanjan Chakraborty, Karl Aberer:
An energy-aware method for the joint recognition of activities and gestures using wearable sensors. ISWC 2015: 101-108 - 2014
- [j11]Quan Kong, Takuya Maekawa:
Reusing training data with generative/discriminative hybrid model for practical acceleration-based activity recognition. Computing 96(9): 875-895 (2014) - [c37]Quan Kong, Takuya Maekawa:
Identifying outlets at which electrical appliances are used by electrical wire sensing to gain positional information about appliance use. UbiComp 2014: 349-360 - [c36]Daisuke Taniuchi, Takuya Maekawa:
Robust Wi-Fi based indoor positioning with ensemble learning. WiMob 2014: 592-597 - 2013
- [j10]Takuya Maekawa, Shinji Watanabe:
Training data selection with user's physical characteristics data for acceleration-based activity modeling. Pers. Ubiquitous Comput. 17(3): 451-463 (2013) - [j9]Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takayuki Suyama:
Activity recognition with hand-worn magnetic sensors. Pers. Ubiquitous Comput. 17(6): 1085-1094 (2013) - [c35]Quan Kong, Takuya Maekawa:
Sharing training data among different activity classes. UbiComp (Adjunct Publication) 2013: 701-712 - [c34]Yuki Tsuda, Quan Kong, Takuya Maekawa:
Detecting and correcting WiFi positioning errors. UbiComp 2013: 777-786 - [c33]Tomoya Hirano, Takuya Maekawa:
A hybrid unsupervised/supervised model for group activity recognition. ISWC 2013: 21-24 - [c32]Takuya Maekawa:
A sensor device for automatic food lifelogging that is embedded in home ceiling light: A preliminary investigation. PervasiveHealth 2013: 405-407 - 2012
- [j8]Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, Takeshi Okadome:
Context-aware web search in ubiquitous sensor environments. ACM Trans. Internet Techn. 11(3): 12:1-12:23 (2012) - [c31]Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai:
WristSense: Wrist-worn sensor device with camera for daily activity recognition. PerCom Workshops 2012: 510-512 - [c30]Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai:
Mimic Sensors: Battery-Shaped Sensor Node for Detecting Electrical Events of Handheld Devices. Pervasive 2012: 20-38 - [c29]Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai:
Recognizing Handheld Electrical Device Usage with Hand-Worn Coil of Wire. Pervasive 2012: 234-252 - 2011
- [c28]Takuya Maekawa, Yasue Kishino, Yutaka Yanagisawa, Yasushi Sakurai:
WPT: A Toolkit for Publishing a Web-Based Lifelog. CONTEXT 2011: 185-199 - [c27]Takuya Maekawa, Shinji Watanabe:
Unsupervised Activity Recognition with User's Physical Characteristics Data. ISWC 2011: 89-96 - [c26]Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takayuki Suyama:
Recognizing the Use of Portable Electrical Devices with Hand-Worn Magnetic Sensors. Pervasive 2011: 276-293 - 2010
- [j7]Takeshi Okadome, Yasue Kishino, Takuya Maekawa, Koji Kamei, Yutaka Yanagisawa, Yasushi Sakurai:
The Event Search Engine. Int. J. Cogn. Informatics Nat. Intell. 4(1): 30-44 (2010) - [j6]Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takeshi Okadome:
Incremental Knowledge Construction for Real-World Event Understanding. Int. J. Cogn. Informatics Nat. Intell. 4(1): 65-79 (2010) - [j5]Takuya Maekawa, Yutaka Yanagisawa, Takeshi Okadome:
Estimating which Object Type a Sensor Node is Attached to in Ubiquitous Sensor Environment. Int. J. Softw. Sci. Comput. Intell. 2(1): 86-101 (2010) - [c25]Shohei Yoshioka, Takuya Maekawa, Yasushi Hirano, Shoji Kajita, Kenji Mase:
Interactive story creation for knowledge acquisition. HRI 2010: 131-132 - [c24]Takuya Maekawa, Yutaka Yanagisawa, Yasue Kishino, Katsuhiko Ishiguro, Koji Kamei, Yasushi Sakurai, Takeshi Okadome:
Object-Based Activity Recognition with Heterogeneous Sensors on Wrist. Pervasive 2010: 246-264
2000 – 2009
- 2009
- [c23]Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takeshi Okadome:
Labeling-based knowledge construction for real-world event understanding. IEEE ICCI 2009: 116-124 - [c22]Shohei Yoshioka, Yasushi Hirano, Shoji Kajita, Kenji Mase, Takuya Maekawa:
Semi-automatic Story Creation System in Ubiquitous Sensor Environment. AmI 2009: 106-111 - [c21]Takuya Maekawa, Yuichi Itoh, Keisuke Takamoto, Kiyotaka Tamada, Takashi Maeda, Yoshifumi Kitamura, Fumio Kishino:
Tearable: an experience to sense infinite paper tearing. SIGGRAPH ASIA Art Gallery & Emerging Technologies 2009: 86 - [c20]Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, Takeshi Okadome:
Web searching for daily living. SIGIR 2009: 27-34 - [c19]Takuya Maekawa, Yuichi Itoh, Norifumi Kawai, Yoshifumi Kitamura, Fumio Kishino:
MADO interface: a window like a tangible user interface to look into the virtual world. TEI 2009: 175-180 - [c18]Takuya Maekawa, Yuichi Itoh, Keisuke Takamoto, Kiyotaka Tamada, Takashi Maeda, Yoshifumi Kitamura, Fumio Kishino:
Tearable: haptic display that presents a sense of tearing real paper. VRST 2009: 27-30 - 2008
- [j4]Takashi Onoyama, Takuya Maekawa, Yoshitaka Sakurai, Setsuo Tsuruta, Norihisa Komoda:
Selfish Constraint Satisfaction Genetic Algorithm for Planning a Long-distance Transportation Network. J. Comput. 3(8): 77-85 (2008) - [j3]Takuya Maekawa, Yutaka Yanagisawa, Yasue Kishino, Koji Kamei, Yasushi Sakurai, Takeshi Okadome:
Object-Blog System for Environment-Generated Content. IEEE Pervasive Comput. 7(4): 20-27 (2008) - [c17]Takuya Maekawa, Yutaka Yanagisawa, Takeshi Okadome:
Tag and Think: inferring what a sensor node is attached to. ICPS 2008: 27-36 - [c16]Yutaka Yanagisawa, Takuya Maekawa, Takeshi Okadome:
Estimation of relative position between real objects using sensor nodes. ICPS 2008: 61-64 - [c15]Yasue Kishino, Yasushi Sakurai, Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Takeshi Okadome:
Data gathering in high-density wireless sensor networks using hierarchical clustering. ISWCS 2008: 547-551 - [c14]Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, Takeshi Okadome:
Web page retrieval in ubiquitous sensor environments. SIGIR 2008: 759-760 - 2007
- [j2]Yuki Arase, Takuya Maekawa, Takahiro Hara, Toshiaki Uemukai, Shojiro Nishio:
A web browsing system for cellular-phone users based on adaptive presentation. Univers. Access Inf. Soc. 6(3): 259-271 (2007) - [c13]Koji Kamei, Yutaka Yanagisawa, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Takeshi Okadome:
Tagging strategies for extracting real-world events with networked sensors. TMR@ICMI 2007: 35-42 - [c12]Takashi Onoyama, Takuya Maekawa, Setsuo Tsuruta, Norihisa Komoda:
Long-distance transportation network planning method using selfish constraint satisfaction type GA. SMC 2007: 2760-2765 - [c11]Takuya Maekawa, Yutaka Yanagisawa, Takeshi Okadome:
Towards environment generated media: object-participation-type weblog in home sensor network. WWW 2007: 1267-1268 - 2006
- [j1]Takuya Maekawa, Toshiaki Uemukai, Takahiro Hara, Shojiro Nishio:
An information browsing system using a Java-based cellular phone in a remote display environment. Syst. Comput. Jpn. 37(10): 1-12 (2006) - [c10]Takashi Onoyama, Takuya Maekawa, Sen Kubota, Norihisa Komoda:
GA Applied VRP Solving method for a Cooperative Logistics Network. ETFA 2006: 1101-1106 - [c9]Takuya Maekawa, Takahiro Hara, Shojiro Nishio:
Two Approaches to Browse LargeWeb Pages Using Mobile Devices. MDM 2006: 52 - [c8]Hirokazu Tomiyasu, Takuya Maekawa, Takahiro Hara, Shojiro Nishio:
Profile-based Query Routing in a Mobile Social Network. MDM 2006: 105 - [c7]Kotaro Nakayama, Takuya Maekawa, Hirokazu Tomiyasu, Takahiro Hara, Shojiro Nishio:
GeoNote.net: A Social Network System for Geographic Information. MDM 2006: 144 - [c6]Takuya Maekawa, Takahiro Hara, Shojiro Nishio:
A Collaborative Web Browsing System for Multiple Mobile Users. PerCom 2006: 22-35 - [c5]Yuki Arase, Takuya Maekawa, Takahiro Hara, Toshiaki Uemukai, Shojiro Nishio:
A web browsing system based on adaptive presentation of web contents for cellular phones. W4A 2006: 86-89 - [c4]Takuya Maekawa, Takahiro Hara, Shojiro Nishio:
Image classification for mobile web browsing. WWW 2006: 43-52 - 2005
- [c3]Takuya Maekawa, Toshiaki Uemukai, Takahiro Hara, Shojiro Nishio:
Content Description and Partitioning Methods for Collaborative Browsing by Multiple Mobile Users. DEXA Workshops 2005: 1068-1072 - [c2]Hirokazu Tomiyasu, Takuya Maekawa, Takahiro Hara, Shojiro Nishio:
Social Network Applications using Cellular Phones with E-mail Function. ICDE Workshops 2005: 1253 - 2004
- [c1]Takuya Maekawa, Toshiaki Uemukai, Takahiro Hara, Shojiro Nishio:
A Java-Based Information Browsing System in a Remote Display Environment. CEC 2004: 342-346
Coauthor Index
[j42] [c97] [c96] [c95] [i5] [c94] [c92] [c91] [c90] [i3] [j39] [j38] [j37] [j35] [c89] [i2] [j32] [c86] [c85] [c84] [c82] [c81] [c80] [i1] [j31] [j29] [c77] [c75] [c74] [c71] [c70] [c69] [c68] [c66] [c65] [c64] [j25] [j24] [c62] [c60] [c57] [c56] [c54] [j2] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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