Introduction:

The wireless system contains 8 highly sensitive EMG sensor amplifiers, 9-axis IMU motion sensor, and communicates through a Bluetooth BLE 4.2 wireless chip. A 9×2 cable is used as the connection for the 8 differential EMG electrodes with 2 leads acting as a reference voltage output. Disposable stickers that connect to the cable are used as electrodes and offers less noise from outside sources. The gForceOct EMG System supports real time EMG raw data access, gesture training, model download and synchronization, real time pose data, IMU raw data access, and OTA firmware update.

More than gesture recognition

The gForceOct is not just limited to do gesture recognition rather that is a feature of the gForceApp. The gForceOct’s purpose is to give developers a lowcost and high-quality way to have access to raw EMG data. As a result, developers can place the electrodes anywhere to on the body to measure different muscle groups’ EMG data.

More accessible EMG raw data

The gForceOct is designed for developers to have a low-cost and high￾quality solution to have access to raw EMG data. It is wireless and powered by batteries, so signals are less affected by cord noise. Furthermore, by using disposable stickers, signal quality is much better compared to using dry electrodes. Using the gForceOct developers have the flexibility to probe up to 8 different muscles simultaneously with the lead cable.

Disposable Sticker Electrode

The gForceOct is designed to use disposable sticker as its electrodes, general ECG stickers are suggested.

Free gForceAPP for gesture training

The gForceApp is designed for gForce system to view gesture results, check pose data, view EMG data, conduct gesture training, have gForce firmware OTA update, and parameter tuning. The gForceOct EMG System supports full features of gesture training, cloud-based AI model generation, and system model synchronization. With the gForceApp, users can customize their own gestures and then update the gForceOct with the newly trained/created gesture. The new gesture will be saved within the gForceOct to replace the old one.

Low Power：

● Ultra-low Power ARM Cortex M4

● for Bluetooth BLE4.2

● Power Consumption Below 0.1W

Continuous Gesture Recognition：

● User-defined max 16 Gestures Recognition

● 9-Axis Motion Sensor Fusion

Sensor：

● 8-Channel Differential EMG Input Pairs

● Independent Reference Level Output Lead

● 9-Axis Motion Sensor

● Real-time raw EMG and Motion Data Access

● Real-time Quaternion Access

Software support SDK/API：

• SDK For Windows7,8,10 and Up

• SDK For Android4.0 and Up

• SDK For Arduino/Embedded

• Unity3D SDK for Windows/Android

• Open Source oym8chwave Project to Capture EMG
  Raw Data, IMU etc

• gForceAPP Mobile APP

Message Indicator：

● Double-LED Indicators

Electrodes：

● Female-Button-Snap Lead Cable

● Disposable Sticker as Electrodes

● 8-Channel real-time raw EMG data acquisition

● 8Bit mode max 1KHz sample rate

● 12bit mode max 500Hz sample rate

● Support user algorithm development and EMG data application

● 3-Axis Acc Sensor

● Full-function support mobile gForceAPP EMG gesture training platform
● Raw Data Access through gForceDongle on Windows
● Support max 16 user defined gestures