4 papers
StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities
Zeyu Yang, Clayton Souza Leite, Yu Xiao
Tracking strength-demanding activities with wearable sensors like IMUs is crucial for monitoring muscular strength, endurance, and power. However, there is a lack of comprehensive…
Hierarchical Motion Captioning Utilizing External Text Data Source
Clayton Leite, Yu Xiao
This paper introduces a novel approach to enhance existing motion captioning methods, which directly map representations of movement to high-level descriptive captions (e.g., ``a p…
Transformer-Based Approaches for Sensor-Based Human Activity Recognition: Opportunities and Challenges
Clayton Souza Leite, Henry Mauranen, Aziza Zhanabatyrova +1
Transformers have excelled in natural language processing and computer vision, paving their way to sensor-based Human Activity Recognition (HAR). Previous studies show that transfo…
Enhancing Motion Variation in Text-to-Motion Models via Pose and Video Conditioned Editing
Clayton Leite, Yu Xiao
Text-to-motion models that generate sequences of human poses from textual descriptions are garnering significant attention. However, due to data scarcity, the range of motions thes…