Joseph Korpela
Joseph Korpela
Graduate School of Information Science and Technology, Osaka University
Geverifieerd e-mailadres voor ist.osaka-u.ac.jp
Geciteerd door
Geciteerd door
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Privacy preserving recognition of object-based activities using near-infrared reflective markers
J Korpela, T Maekawa
Personal and Ubiquitous Computing 22, 365-377, 2018
Preliminary Investigation on Using Deep Learning to Evaluate Toothbrushing Performance with Smartphone Audio
J Korpela
Labeling system, activity recognition system, and teaching material generating system
J Korpela, T Akiyama
US Patent App. 17/878,126, 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
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
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