Accurate EMG Gesture Recognition, Made Simple

AK05611 enables stable electromyography (EMG) sensing with a scalable system architecture.

Features

The gesture recognition platform combines AI algorithms from Aizip with AKM’s AK05611 analog front-end IC, enabling accurate gesture detection using a single EMG channel together with bioimpedance (BioZ) sensing.

By leveraging motion artifact (MA) cancellation, the AK05611 ensures stable signal acquisition in real-world conditions, allowing reliable performance with a minimal sensor configuration.

Key Benefits

  • Compact integration: Integrates EMG and BioZ in a single IC to reduce system size.
  • MA cancellation: Stable signal acquisition in real-world conditions.
  • Scalable architecture: Synchronizes up to 32 devices.

Target Applications

  • Wearables
  • xR (AR/VR/MR) interfaces
  • Healthcare applications
Muscle Signal Interface Smartwatch demo with 2-channel EMG electrodes, featuring AK05611.

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