gforcepro emg armband-2024欧洲杯买球平台

bionic-hand
bio-sensor
smart-rehab
digital-massage

gforcepro emg armband

technical

low power：

● ultra-low power arm cortex m4 embedded
● bluetooth ble4.0
● power consumption below 0.1w

continuous gesture recognition：

● user-defined 16 gestures recognition trained with gforceapp
● 9-axis motion sensor fusion

sensor：

● 8-channel medical-grade emg differential dry electrodes
● 9-axis motion sensor
● real-time emg raw data
● real-time imu raw data, quaternion or euler

software sdk/api：

● support windows 7,8,10 and up
● support android 4.0 and up
● support unity3d development
● support arduino mcu

message indicator：

● double-led indicators
● vibration feedback

● open source projects and environment friendly to researchers, downloadable from: https://github.com/oymotion
● quck start from https://oymotion.github.io/
● gforceapp user guide download from https://oymotion.github.io/assets/downloads/gforceapp-user-guide-202108.pdf
● gforcepro armband user guide download from https://oymotion.github.io/assets/downloads/gforce-emg-armband-user-guide-202108.pdf

● 8-channel real-time raw emg data acquisition
● 8bit mode up to max 1khz sample rate
● 12bit mode up to 500hz sample rate
● support user algorithm development and emg application

● 3-axis acc sensor
● 3-axis gyro sensor
● 3-axis magnetic sensor
● support quaternion, euler and real-time access of imu raw data

● full-function support mobile gforceapp emg gesture training platform
● raw data access through gforcedongle on windows
● support max 16 user redefined gestures