32 citations · 49 across the 5 of their papers we have counts for
8 papers
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…
FabDreamer: Exploring the Image-to-Physical Workflow Through AI-Assisted Layered Fabrication
Chenfeng Gao, Zeya Chen, Anjie Yang +2
Generative AI lets anyone create rich visual content in seconds, yet translating that content into a physically fabricable artifact still demands manual decomposition, occlusion re…
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…
MobilePoser: Real-Time Full-Body Pose Estimation and 3D Human Translation from IMUs in Mobile Consumer Devices
Vasco Xu, Chenfeng Gao, Henry Hoffmann +1
There has been a continued trend towards minimizing instrumentation for full-body motion capture, going from specialized rooms and equipment, to arrays of worn sensors and recently…
Shape-Kit: A Design Toolkit for Crafting On-Body Expressive Haptics
Ran Zhou, Jianru Ding, Chenfeng Gao +5
Driven by the vision of everyday haptics, the HCI community is advocating for "design touch first" and investigating "how to touch well." However, a gap remains between the explora…
SHAPE-IT: Exploring Text-to-Shape-Display for Generative Shape-Changing Behaviors with LLMs
Wanli Qian, Chenfeng Gao, Anup Sathya +2
This paper introduces text-to-shape-display, a novel approach to generating dynamic shape changes in pin-based shape displays through natural language commands. By leveraging large…