HALO: Inferring Hidden Activation-Loading Organization from Sparse Wearables
May 1, 2026·
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1 min read
Wenbo Zhang
Xingying Yan
Chenxu Zhang
Dong Huitian
Haoyang Li
Chenxu Zhu
Yang Gao
Jagmohan Chauhan
Zhanpeng Jin
Abstract
HALO investigates hidden activation-loading organization from sparse wearable signals, connecting motion, pressure, loading, and muscle activation.
Type
Publication
Accepted at Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
HALO studies how practical wearable signals can reveal latent relationships between movement, loading, and muscle activation that are usually hidden outside laboratory measurement setups. It extends the research line from motion and pressure estimation toward interpretable hidden-state organization.
