4 citations · 4 across the 8 of their papers we have counts for
7 papers · 1 filter
IMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical Tasks
Yiquan Li, Aidan Bradshaw, Chenfeng Gao +1
Wrist-worn inertial measurement units (IMUs) provide a common sensing modality for tasks ranging from activity and gesture recognition to pose estimation, inertial odometry and cli…
FlowAvatar: Real-Time Full-Body Avatars from Sparse Egocentric Inputs on Consumer XR Devices
Chenfeng Gao, Taeyoung Yeon, Sungheon Park +4
Prior avatar embodiment research has studied tracking completeness (how faithfully the body, hands, and face are sensed and reproduced) and personalized appearance in isolation, ea…
ArmPoser: Real-Time, Calibration-Free Arm Pose Estimation from Smartwatch IMU
Bishnu Dev, Vasco Xu, Xi-Aan Loh +3
Arm pose estimation enables applications in fitness, extended reality input, rehabilitation, and life logging. Prior smartwatch-based approaches rely on calibration poses and prepr…
EITWatch: Smartwatch-Integrated Planar Electrical Impedance Tomography for Hand Gesture Recognition
Xuanyou Liu, Novel Alam, Karan Ahuja
Wrist Electrical Impedance Tomography (EIT) senses hand gestures from muscle- and tendon-driven impedance changes, but prior wrist-EIT systems require electrode coverage beyond the…
TransfHAR: Self-Supervised Wrist Representations for On-Demand Activity Recognition
Aidan Bradshaw, Riku Arakawa, Xin Liu +1
Fine-grained wrist activity recognition can support applications such as procedural step guidance and context-aware assistance, yet acquiring labeled data for every new task, user,…
MARIO: Motion-Augmented Real-Time Multi-Sensor Inertial Odometry
Yiquan Li, Taeyoung Yeon, Chenfeng Gao +3
Inertial odometry (IO) using only Inertial Measurement Units (IMUs) provides a lightweight solution for human motion tracking in augmented reality (AR) and wearable devices. Recent…
Towards a General Intelligence and Interface for Wearable Health Data
Girish Narayanswamy, Maxwell A. Xu, A. Ali Heydari +37
While ubiquitous wearable sensors capture a wealth of behavioral and physiological information, effectively transforming these signals into personalized health insights is challeng…