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CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference
This paper introduces a physical knowledge-inspired causal intervention scheme in biased IoT sensing data.
Zhizhang (Kevin) Hu, Tong Yu, Ruiyi Zhang, Shijia Pan
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MODES: multi-sensor occupancy data-driven estimation system for smart buildings
Hamid Rajabi, Zhizhang (Kevin) Hu, Xianzhong Ding, Shijia Pan, Wan Du, Alberto Cerpa
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Demo: Real-Time Teeth Functional Occlusion Monitoring via In-Mouth Vibration Sensing
Dong Yoon Lee, Zhizhang (Kevin) Hu, Quan Do, Phuc Nguyen, Shijia Pan
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Poster: Sedentary Posture Muscle Monitoring via Active Vibratory Sensing
Shreya Shriram, Shubham Rohal, Zhizhang (Kevin) Hu, Yue Zhang, Phuc Nguyen, Shijia Pan
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VMA: Domain Variance- and Modality-Aware Model Transfer for Fine-Grained Occupant Activity Recognition
Zhizhang (Kevin) Hu, Yue Zhang, Tong Yu, Shijia Pan
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Footstep-Induced Floor Vibration Dataset: Reusability and Transferability Analysis
Zhizhang (Kevin) Hu, Yue Zhang, Shijia Pan
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Poster: Vibration-based Indoor Occupant Gait Monitoring with Robot Vacuum Cleaners
Zhizhang (Kevin) Hu, Yue Zhang, Shijia Pan
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Vibration-based indoor human sensing quality reinforcement via Thompson sampling
Tong Yu, Yue Zhang, Zhizhang (Kevin) Hu, Susu Xu, Shijia Pan
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A window-based sequence-to-one approach with dynamic voting for nurse care activity recognition using acceleration-based wearable sensor
Yiwen Dong, Jingxiao Liu, Yitao Gao, Sulagna Sarkar, Zhizhang (Kevin) Hu, Jonathon Fagert, Shijia Pan, Pei Zhang, Hae Young Noh, Mostafa Mirshekari
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Fine-grained activities recognition with coarse-grained labeled multi-modal data
Zhizhang (Kevin) Hu, Tong Yu, Yue Zhang, Shijia Pan
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