28 citations · 50 across the 4 of their papers we have counts for
4 papers
Unsupervised Human Activity Recognition through Two-stage Prompting with ChatGPT
Qingxin Xia, Takuya Maekawa, Takahiro Hara
Wearable sensor devices, which offer the advantage of recording daily objects used by a person while performing an activity, enable the feasibility of unsupervised Human Activity R…
A benchmark for computational analysis of animal behavior, using animal-borne tags
Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione +15
Animal-borne sensors (`bio-loggers') can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Mach…
OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments
Naoya Yoshimura, Jaime Morales, Takuya Maekawa +1
Unlike human daily activities, existing publicly available sensor datasets for work activity recognition in industrial domains are limited by difficulties in collecting realistic d…
Using Social Media Background to Improve Cold-start Recommendation Deep Models
Yihong Zhang, Takuya Maekawa, Takahiro Hara
In recommender systems, a cold-start problem occurs when there is no past interaction record associated with the user or item. Typical solutions to the cold-start problem make use…