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Von: Klaus David

Associate Prof. Takuya Maekawa (Japan) Gast bei ComTec

Takuya Maekawa während seines Gastvortrages

Vom 13 bis 15.9.2019 war Prof. Takuya Maekawa, Osaka University, Japan, Gast bei ComTec. Dabei konnten viele, sehr interessante Diskussionen für zukünftige Zusammenarbeiten geführt werden.


Takuya Maekawa received the B.S., M.S., and Ph.D. degrees from Osaka University, Japan in 2003, 2004, and 2006, respectively. From 2006 to 2012, he was a researcher at NTT Communication Science Laboratories in Japan. He is currently an associate professor at Osaka University. His research interests include ubiquitous and mobile sensing, web data mining, and information retrieval, and he is now mainly engaged in human activity recognition and indoor positioning research using ubiquitous and wearable sensor data based on machine learning techniques. He has published 25 full papers in top conferences such as Ubicomp, PerCom, AAAI, WWW, and SIGIR. He also received IPSJ/IEEE Computer Society Young Computer Researcher Award in 2019.


Activity Recognition in the Wild: Case Studies on Factory Workers and Seabirds


Recent advances in sensing technologies enables us to observe human and animal activities using small sensor devices attached to them. Human activity recognition is a technique for recognizing human activities using body-worn and/or environmental sensors, and is a basic technique for real-world applications such as surveillance of single living elder persons, health care and home automation as well as industrial applications such as monitoring factory workers for production management. In this talk, we introduce unsupervised activity recognition for factory workers. In addition, we introduce real-time and robust animal activity recognition for biologging.