3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.HC2024
iRadar: Synthesizing Millimeter-Waves from Wearable Inertial Inputs for Human Gesture Sensing
Huanqi Yang, Mingda Han, Xinyue Li +3
Millimeter-wave (mmWave) radar-based gesture recognition is gaining attention as a key technology to enable intuitive human-machine interaction. Nevertheless, the significant chall…
cs.HC2024
Argus: Multi-View Egocentric Human Mesh Reconstruction Based on Stripped-Down Wearable mmWave Add-on
Di Duan, Shengzhe Lyu, Mu Yuan +5
In this paper, we propose Argus, a wearable add-on system based on stripped-down (i.e., compact, lightweight, low-power, limited-capability) mmWave radars. It is the first to achie…
eess.SP2024★ 3 cited
EarDA: Towards Accurate and Data-Efficient Earable Activity Sensing
Shengzhe Lyu, Yongliang Chen, Di Duan +2
In the realm of smart sensing with the Internet of Things, earable devices are empowered with the capability of multi-modality sensing and intelligence of context-aware computing,…