gForcePro+ EMG Armband_ OYMOTION BIO-SENSOR

ROHand
BIONIC-HAND
BIO-SENSOR
SMART-REHAB
EEG Machine
SMART ASSISTIVE DEVICES

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