Physilog Sensor

Physilog® high quality motion sensor

Compact (11g) and versatile wireless inertial measurement unit (IMU) with barometer.

  • 7D sensing, recording & streaming

    High-quality 3D accelerometer, 3D gyroscope and barometric pressure sensor, with programmable ranges and sampling frequencies. Operate in standalone recording or Wireless data streaming mode.

  • Synchronisation & unique features

    Record synchronous signals with multiple Physilog®. Wireless data transfer, IP64 water and dust resistant, plus microUSB for rapid file transfer.

  • Developer friendly SDKs & APIs

    Program, read signals and check Physilog® status with the free Research ToolKit on Android, Mac or PC. These, plus dedicated MATLAB functions and APIs, all available for free on our Support page.

  • Versatile motion sensor

    Pair Physilog® with one of Gait Up’s professional applications for gait, running, activity, posture or shoulder function. Visit the Algorithm or Customization pages for custom algorithm libraries and OEM/licensing.

  • Inertial sensor data acquisition for research and development
  • Investigate optimal sensor configuration for your application
  • Signal processing research and teaching classes
  • On-demand customization for your application
  • IMU sensing capabilities including high-quality 3D accelerometer, 3D gyroscope and barometric pressure sensor
  • Standalone recording of raw data on SD card, available via our free Research Toolkit
  • Integrated Bluetooth module for real-time data streaming
  • IP64 water and dust resistant, slim design, for real world measurements
  • Customizable ranges and sampling frequencies
  • Wireless synchronization between multiple Physilog® 5
  • Standard file format & user-friendly routines available
  • A wrist sensor and algorithm to determine instantaneous walking cadence and speed in daily life walking. Fasel et al, 2017.
  • Heel and toe clearance estimation for gait analysis using wireless inertial sensors. Mariani et al, 2012.
  • Quaternion-based fusion of gyroscopes and accelerometers to improve 3D angle measurement. Favre et al, 2006.
  • Capturing human motion using body‐fixed sensors: outdoor measurement and clinical applications. Aminian et al, 2004.
  • Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes. Aminian et al, 2002.
  • Can accelerometry accurately predict the energy cost of uphill/downhill walking? Terrier et al, 2001.
  • Physical activity monitoring based on accelerometry: validation and comparison with video observation. Aminian et al, 1995.