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gForcePro+ EMG armband, with built-in 8-channel high-sensitive EMG and 9-Axis motion sensors, Bluetooth BLE4.2 and an elastic armband design, allows users to access the raw EMG and motion data. It supports mobile gForceAPP gesture training platform and upto 16 user defined.
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
● Data connection with Arduino or MCU through gForceJoint
● Support gesture index, quaternion transmission
● Windows platform Unity3D development SDK/API
● Open source Unity3D development sample project examples
gForcePro+ EMG armband, with built-in 8-channel high-sensitive EMG and 9-Axis motion sensors, Bluetooth BLE4.2 and an elastic armband design, allows users to access the raw EMG and motion data. It supports mobile gForceAPP gesture training platform and upto 16 user defined.
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
● Data connection with Arduino or MCU through gForceJoint
● Support gesture index, quaternion transmission
● Windows platform Unity3D development SDK/API
● Open source Unity3D development sample project examples