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DrFrankSChen/README.md

Frank (Sicong) Chen

I am a postdoctoral researcher at Dartmouth College working on wearable AI, digital health, multimodal physiological sensing, mobile/wearable systems, and real-time monitoring in noisy real-world conditions.

My public GitHub highlights selected research-code and portfolio repositories. Some ongoing projects involve private health data, institutional research code, or unpublished methods, so the public repositories use sanitized demos, synthetic data, or paper-released implementations.

Featured repositories

  • SSPRA — official code for a state-space continuous authentication framework using multimodal wearable/mobile gait signals.
  • Wearable Motion-Aware Physio Monitoring — public-safe demos and documentation for motion-aware heart-rate and breathing-rate estimation from wearable PPG/IMU streams.
  • Wear OS to iOS BLE Sensor Bridge — reference implementation for streaming synthetic wearable sensor packets from a Wear OS BLE peripheral to an iOS BLE central.

Research and engineering interests

Wearable AI · Digital health · Physiological sensing · Mobile sensing · Multimodal machine learning · Time-series modeling · Real-time monitoring

Links

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  1. SSPRA-State-Space-Perturbation-Resistant-Approach SSPRA-State-Space-Perturbation-Resistant-Approach Public

    Research code for SSPRA, a modality-agnostic continuous authentication framework using state-space temporal modeling and multimodal sensor fusion.

    Python

  2. wearable-motion-aware-physio-monitoring wearable-motion-aware-physio-monitoring Public

    Motion-aware heart-rate and breathing-rate estimation from wearable PPG and IMU signals, with synthetic demos and research summaries.

    Python

  3. wearos-ios-ble-sensor-bridge wearos-ios-ble-sensor-bridge Public

    Wear OS-to-iOS BLE sensor bridge with custom GATT services, packet decoding, time sync, buffering, and synthetic wearable data.

    Swift

  4. Personal-Website Personal-Website Public

    JavaScript