Description

Wearable devices (smartwatches, fitness trackers, body-worn IMUs) are the device-bound baseline for human-activity recognition that Wi-Fi sensing aims to displace. They produce clean per-subject motion data (IMU, heart-rate, GPS) but require the user to wear the device. In the thesis, wearables appear primarily as ground-truth label generators in fused datasets ("smartwatch IMU labels gait while CSI is passively logged") and as the baseline that "device-free" CSI sensing claims to match.

Specs / capabilities

  • 6/9-axis IMU (see imu, accelerometer)
  • Photoplethysmography (PPG) for heart rate
  • BLE / Wi-Fi for sync and uplink
  • Battery 1-7 days typical

Used by (papers)

  • Wearable-baseline HAR comparisons
  • Cross-modal supervision (wearable label → CSI student model)

16 vault papers run on this hardwar

Titles and DOIs only — no abstracts, no analyses.

  • Gait recognition using wifi signals 2016 DOI ↗
  • Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point 2021 DOI ↗
  • MUSE-Fi: Contactless MUti-person SEnsing Exploiting Near-field Wi-Fi Channel Variation 2023 DOI ↗
  • Fundamentals, Algorithms, and Technologies of Occupancy Detection for Smart Buildings Using IoT Sensors 2024 DOI ↗
  • WiFi-Based Human Sensing With Deep Learning: Recent Advances, Challenges, and Opportunities 2024 DOI ↗
  • Integrated Sensing and Communication Waveform Design: A Survey 2022 DOI ↗
  • A Survey on Green Wireless Sensing: Energy-Efficient Sensing via WiFi CSI and Lightweight Learning 2026 DOI ↗
  • Personalization in smart urban environments: a taxonomy and survey of recommender systems 2026 DOI ↗
  • Leveraging Online Learning for Domain-Adaptation in Wi-Fi-Based Device-Free Localization 2025 DOI ↗
  • A low-cost automatic people-counting system at bus stops using Wi-Fi probe requests and deep learning 2025 DOI ↗
  • CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community 2025 DOI ↗
  • VICount: Device-free Crowd Counting System Using WiFi Signals 2025 DOI ↗
  • M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training 2024 DOI ↗
  • Edge-Based Real-Time Occupancy Detection System through a Non-Intrusive Sensing System 2023 DOI ↗
  • Data collection methods for studying pedestrian behaviour: A systematic review 2021 DOI ↗
  • A Survey of Techniques for Automatically Sensing the Behavior of a Crowd 2019 DOI ↗