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 includinghigh-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.