| Evaluating tooth brushing performance with smartphone sound data J Korpela, R Miyaji, T Maekawa, K Nozaki, H Tamagawa Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015 | 49 | 2015 |
| Unsupervised factory activity recognition with wearable sensors using process instruction information X Qingxin, A Wada, J Korpela, T Maekawa, Y Namioka Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 47 | 2019 |
| Robust unsupervised factory activity recognition with body-worn accelerometer using temporal structure of multiple sensor data motifs Q Xia, J Korpela, Y Namioka, T Maekawa Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 42 | 2020 |
| Machine learning enables improved runtime and precision for bio-loggers on seabirds J Korpela, H Suzuki, S Matsumoto, Y Mizutani, M Samejima, T Maekawa, ... Communications biology 3 (1), 633, 2020 | 39 | 2020 |
| An energy-aware method for the joint recognition of activities and gestures using wearable sensors J Korpela, K Takase, T Hirashima, T Maekawa, J Eberle, D Chakraborty, ... Proceedings of the 2015 ACM International Symposium on Wearable Computers …, 2015 | 36 | 2015 |
| Human activity recognition with deep reinforcement learning using the camera of a mobile robot T Kumrai, J Korpela, T Maekawa, Y Yu, R Kanai 2020 IEEE international conference on pervasive computing and communications …, 2020 | 17 | 2020 |
| Unobtrusive detection of body movements during sleep using Wi-Fi received signal strength with model adaptation technique O Ammae, J Korpela, T Maekawa Future Generation Computer Systems 78, 616-625, 2018 | 16 | 2018 |
| Toothbrushing performance evaluation using smartphone audio based on hybrid HMM-recognition/SVM-regression model J Korpela, R Miyaji, T Maekawa, K Nozaki, H Tamagawa Journal of Information Processing 24 (2), 302-313, 2016 | 13 | 2016 |
| Spatio-temporal adaptive indoor positioning using an ensemble approach T Hayashi, D Taniuchi, J Korpela, T Maekawa Pervasive and Mobile Computing 41, 319-332, 2017 | 12 | 2017 |
| Tree-structured classifier for acceleration-based activity and gesture recognition on smartwatches J Korpela, T Maekawa, J Eberle, D Chakraborty, K Aberer 2016 IEEE International Conference on Pervasive Computing and Communication …, 2016 | 8 | 2016 |
| Automated construction of Wi-Fi-based indoor logical location predictor using crowd-sourced photos with Wi-Fi signals T Kumrai, J Korpela, Y Zhang, K Ohara, T Murakami, H Abeysekera, ... Pervasive and Mobile Computing 89, 101742, 2023 | 5 | 2023 |
| Smartphone-assisted automatic indoor localization of BLE-enabled appliances using BLE and GNSS Signals M Fujiwara, T Nakatani, Y Tian, J Korpela, T Maekawa, T Hara Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020 | 4 | 2020 |
| Path knowledge discovery: Association mining based on multi-category lexicons C Liu, WW Chu, F Sabb, DS Parker, J Korpela 2014 IEEE International Conference on Big Data (Big Data), 1049-1059, 2014 | 4 | 2014 |
| AI on animals: AI-assisted animal-borne logger never misses the moments that biologists want JM Korpela, H Suzuki, S Matsumoto, Y Mizutani, M Samejima, T Maekawa, ... BioRxiv, 630053, 2019 | 3 | 2019 |
| Privacy preserving recognition of object-based activities using near-infrared reflective markers J Korpela, T Maekawa Personal and Ubiquitous Computing 22, 365-377, 2018 | 2 | 2018 |
| Reducing Label Fragmentation During Time-series Data Annotation to Reduce Annotation Costs J Korpela, T Akiyama, T Niikura, K Nakamura Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021 | 1 | 2021 |
| Automatic identification of differences in behavioral co-occurrence between groups Y Tian, T Maekawa, J Korpela, D Amagata, T Hara, S Matsumoto, K Yoda Animal Biotelemetry 9 (1), 21, 2021 | 1 | 2021 |
| Preliminary investigation on using deep learning to evaluate toothbrushing performance with smartphone audio J Korpela | 1 | 2016 |
| Labeling system, activity recognition system, and teaching material generating system J Korpela, T Akiyama US Patent App. 17/878,126, 2023 | | 2023 |
| Preliminary Investigation of Using Crowd-sourced Photos with Wi-Fi Signals for Predicting Indoor Location Class T Kumrai, T Maekawa, K Ohara, Y Zhang, J Korpela, T Murakami, ... 人工知能学会全国大会論文集 第 36 回 (2022), 3G3OS15a03-3G3OS15a03, 2022 | | 2022 |
