Joseph Korpela
Joseph Korpela
Graduate School of Information Science and Technology, Osaka University
Verified email at ist.osaka-u.ac.jp
Title
Cited by
Cited by
Year
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
272015
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
272015
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
112018
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
112017
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), 1-9, 2020
92020
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
92016
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
82019
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
82016
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
42014
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
32020
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
22019
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
12020
Privacy preserving recognition of object-based activities using near-infrared reflective markers
J Korpela, T Maekawa
Personal and Ubiquitous Computing 22 (2), 365-377, 2018
12018
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), 1-15, 2021
2021
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
2021
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
2020
Preliminary Investigation of Unsupervised Factory Activity Recognition with Wearable Sensors via Temporal Structure of Multiple Motifs
X Qingxin, J Korpela, Y Namioka, T Maekawa
マルチメディア, 分散協調とモバイルシンポジウム 2076 論文集, 374-381, 2020
2020
Preliminary Investigation of Unsupervised Factory Activity Recognition with Wearable Sensors via Temporal Structure of Multiple Motifs
Q XIA, J KORPELA, Y NAMIOKA, T MAEKAWA
情報処理学会シンポジウムシリーズ (CD-ROM) 2020 (1), 3-4, 2020
2020
Sensor-based Recognition and Evaluation of Daily Human Activitiesfor Practical Ubiquitous Healthcare
J Korpela
2017
Preliminary Investigation on Using Deep Learning to Evaluate Toothbrushing Performance with Smartphone Audio
J Korpela
2016
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Articles 1–20