3 papers
eess.SP2026
Real-Time Forecasting of Pathological Gait via IMU Navigation: A Few-Shot and Generative Learning Framework for Wearable Devices
Wenwen Zhang, Hao Zhang, Zenan Jiang +2
Current gait analysis faces challenges in various aspects, including limited and poorly labeled data within existing wearable electronics databases, difficulties in collecting pati…
cs.CV2025
FlexMotion: Lightweight, Physics-Aware, and Controllable Human Motion Generation
Arvin Tashakori, Arash Tashakori, Gongbo Yang +2
Lightweight, controllable, and physically plausible human motion synthesis is crucial for animation, virtual reality, robotics, and human-computer interaction applications. Existin…
cs.HC2024
Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves
Arvin Tashakori, Zenan Jiang, Amir Servati +8
Accurate real-time tracking of dexterous hand movements and interactions has numerous applications in human-computer interaction, metaverse, robotics, and tele-health. Capturing re…