Proceedings

Sorry for the late announcement of the program.

The accepted papers in HASCA workshop are included in the proceedings on ACM DL.

Presentation time:
HASCA oral presentation, 20 min (approx. 15-min talk + 5-min Q&A)

0９:00-09:10	Opening (Chair: Kazuya Murao)
09:10-10:30	Session 1 [20min x4] (Chair: Kazuya Murao) Towards LLMs for Sensor Data: Multi-Task Self-Supervised Learning Predicting and Analyzing Emotion of Elderly People in Care Facilities Personalized federated human activity recognition through semi-supervised learning and enhanced representation Investigating the Effect of Orientation Variability in Deep Learning-based Human Activity Recognition
10:30-11:00	Coffee Break
14:50-16:10	Session 2 [20min x4] (Chair: Paula Lago) Cardiac massage practice application using barometer in a smart phone and sealed bag ye movement differences in Japanese text reading between cognitively healthy older and younger adults A Data-Driven Study on the Hawthorne Effect in Sensor-Based Human Activity Recognition Eco-Friendly Sensing for Human Activity Recognition
12:30-14:00	Lunch Break
14:00-17:00	Session 3 [SHL session, including coffee break somewhere] SHL intro [4 min] SHL summary paper [15 min] SHL top 3 papers [36 min] SHL video shows [12 min] SHL poster [4 min] Session 4 [20min x3] (Chair: Yu Enokibori) Where Are the Best Positions of IMU Sensors for HAR? - Approach by a Garment Device with Fine-Grained Grid IMUs - Toward Pioneering Sensors and Features Using Large Language Models in Human Activity Recognition Human activity recognition for packing processes using CNN-biLSTM
17:00-17:10	Closing

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