Recognizing unknown activities using semantic word vectors and twitter timestamps. - Moe Matsuki; Sozo Inoue (UbiComp Adjunct, 2016)

Sensing Experiment in a Caregiving Facility for Correlation Analysis of Sleep and Daytime Activities. - Moe Matsuki; Sozo Inoue (UbiComp/ISWC Adjunct, 2018)

Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks. - Danilo Vasconcellos Vargas; Shashank Kotyan; Moe Matsuki (CoRR, 2019)

Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition. - Moe Matsuki; Paula Lago; Sozo Inoue (Sensors, 2019)

Achieving Single-Sensor Complex Activity Recognition from Multi-Sensor Training Data. - Paula Lago; Moe Matsuki; Sozo Inoue (CoRR, 2020)

Cooking activity dataset with macro and micro activities. - Paula Lago; Shingo Takeda; Kohei Adachi; Sayeda Shamma Alia; Moe Matsuki; Brahim Benaissa; Sozo Inoue; François Charpillet (IEEE DataPort, 2020)

Using additional training sensors to improve single-sensor complex activity recognition. - Paula Lago; Moe Matsuki; Kohei Adachi; Sozo Inoue (ISWC, 2021)

GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery. - Takuma Yagi; Takumi Nishiyasu; Kunimasa Kawasaki; Moe Matsuki; Yoichi Sato 001 (IUI, 2021)

First Experimental Results on Real-Time Cleaning Activity Monitoring System. - Ryo Yaegashi; Yu Nakayama; Moe Matsuki; Ryoma Yasunaga; Marie Katsurai (CCNC, 2022)

GO-Finder: A Registration-free Wearable System for Assisting Users in Finding Lost Hand-held Objects. - Takuma Yagi; Takumi Nishiyasu; Kunimasa Kawasaki; Moe Matsuki; Yoichi Sato 001 (ACM Trans. Interact. Intell. Syst., 2022)