Sonata is a small hybrid world model pre-trained to predict future IMU states that outperforms autoregressive baselines on clinical discrimination, fall-risk prediction, and cross-cohort transfer while fitting on-device wearables.
Contrastive predictive coding for human activity recognition.Proceedings of the ACM on Interac- tive, Mobile, Wearable and Ubiquitous Technologies, 5(2):1–26
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LastAct creates layout-aligned trajectory images from sensor events and applies boundary-guided masking to improve Macro-F1 on mixed sliding windows in smart-home HAR.
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Sonata: A Hybrid World Model for Inertial Kinematics under Clinical Data Scarcity
Sonata is a small hybrid world model pre-trained to predict future IMU states that outperforms autoregressive baselines on clinical discrimination, fall-risk prediction, and cross-cohort transfer while fitting on-device wearables.
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LastAct: Trajectory-Guided Latest-Activity Localization for Real-Time Smart-Home Activity Recognition
LastAct creates layout-aligned trajectory images from sensor events and applies boundary-guided masking to improve Macro-F1 on mixed sliding windows in smart-home HAR.