
Free
About
Hand of Hope Air
Hand of Hope Air is a hand-training app designed for general fitness and performance practice. It lets you control a pneumatic hand device and an electromyography (EMG) sensor to guide hand movements, encourage active engagement, and make training more interactive. With multiple training modes, you can adjust intensity and participation to match your current condition and goals.
Features:
Pneumatic Hand Control
Operate the pneumatic hand to perform guided movements, aiding in muscle maintenance and joint flexibility.
EMG Sensor Integration
Utilize the EMG sensor to capture muscle activity, allowing users to control the pneumatic hand based on their muscle signals.
Training Modes
Passive Mode: Engage the pneumatic hand without requiring active muscle participation, suitable for beginners and early-stage training.
Active Mode: Use the EMG sensor to actively control the pneumatic hand’s movements, promoting muscle activation and strength.
Training Games
Access a variety of simple games designed to make training sessions more engaging and to encourage consistent practice.
Progress Tracking
Monitor your training progress with basic tracking features, helping you stay informed about your improvements over time.
[IMPORTANT NOTICE & MEDICAL DISCLAIMER]
This app and its connected hardware are NOT medical devices and are not intended for medical use, diagnosis, prevention, monitoring, or treatment of any medical condition or disease. The product is designed strictly for general wellness, fitness tracking, and lifestyle purposes only. All data, measurements, and health-related information provided by this app are for reference purposes only and should not be treated as professional medical advice or clinical decisions. Users should always seek a professional doctor’s or physician's advice in addition to using this app and before making any medical decisions.
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What's New in Hand of Hope Air
1.0.0
August 19, 2026
1. Added Mirror Training 2. Added EMG Sensors to 3D Hand Models 3. Added guidelines on donning sensors and glove 4. Added settings confirmation before training start 5. Revised EMG Control Mode logic and add scoring
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