Description

Accelerometers (typically MEMS, often part of a 6- or 9-axis IMU) appear in the bibliography as the wearable-sensor baseline that CSI-based human-activity recognition systems are compared against. Body-worn IMUs give clean per-subject motion data but require the subject to carry a device — exactly the deployment constraint that Wi-Fi sensing is trying to eliminate. For the thesis, accelerometers are the canonical "device-bound" comparison ("CSI HAR matches accelerometer-based HAR within X% F1") and the source of ground-truth gait / activity labels in fused datasets.

Specs / capabilities

  • 3-axis linear acceleration, ±2 / ±4 / ±8 / ±16 g full-scale ranges
  • Sample rates 50 Hz-1 kHz typical; up to 4 kHz on premium parts
  • 16-bit ADC; ~50-200 µg/√Hz noise density
  • I²C / SPI digital output
  • Common pairings: gyroscope (6-axis IMU), magnetometer (9-axis IMU)

Used by (papers)

  • Wearable-HAR baselines compared against CSI-HAR
  • Pedestrian Dead Reckoning (PDR) papers fused with BLE / Wi-Fi RSSI
  • Gait analysis ground truth

10 vault papers run on this hardwar

Titles and DOIs only — no abstracts, no analyses.

  • Gait recognition using wifi signals 2016 DOI ↗
  • A Standard Indoor Spatial Data Model—OGC IndoorGML and Implementation Approaches 2017 DOI ↗
  • A survey on Internet of Things architectures 2018 DOI ↗
  • Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity Detection 2023 DOI ↗
  • A Survey on Fusion-Based Indoor Positioning 2020 DOI ↗
  • Human Activity Recognition via Wi-Fi and Inertial Sensors With Machine Learning 2024 DOI ↗
  • M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training 2024 DOI ↗
  • PEOPLEx: PEdestrian Opportunistic Positioning LEveraging IMU, UWB, BLE and WiFi 2024 DOI ↗
  • Nationwide deployment and operation of a virtual arrival detection system in the wild 2021 DOI ↗
  • Channel State Information from Pure Communication to Sense and Track Human Motion: A Survey 2019 DOI ↗