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