Gesture control for smart TV
Overview
This project presents a revolutionary gesture control system for smart TVs and home entertainment devices using mmWave radar technology. The system enables mid-to-long range gesture recognition without requiring users to hold any physical devices, providing a truly hands-free smart home experience.

Key Features
Device-Free Interaction
- No Remote Required: Control your TV and smart devices through natural hand gestures
- Mid-to-Long Range Detection: Effective gesture recognition from 1-5 meters distance
- Multiple Gesture Support: Swipe, point, wave, and custom gesture patterns
Seamless Integration
- HID Device Simulation: Acts as a standard Human Interface Device (HID)
- Universal Compatibility: Works with any smart TV, streaming device, or smart home system
- Plug-and-Play: No additional software installation required on target devices
Smart Home Ready
- Multi-Device Control: Switch between controlling TV, sound system, lights, and other IoT devices
- Context-Aware: Automatically adapts gesture mapping based on active device
- Real-Time Response: Low-latency gesture recognition for smooth user experience
Technical Advantages
mmWave Radar Technology
- Privacy-Friendly: No camera required, protecting user privacy
- Lighting Independent: Works in complete darkness or bright light
- Weather Resistant: Unaffected by ambient conditions
- High Precision: Accurate gesture detection and classification
HID Integration
- Standard Protocol: Uses USB HID protocol for universal compatibility
- Custom Mapping: Configurable gesture-to-command mapping
- Multi-Modal Output: Supports keyboard, mouse, and media control commands
Applications
| Smart TV Control | Audio System | Lighting Control |
|---|---|---|
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Use Cases
- Living Room Entertainment: Control TV, streaming services, and audio systems
- Smart Home Automation: Manage lights, curtains, and climate control
- Accessibility: Hands-free control for users with mobility limitations
- Hygiene-Critical Environments: Touch-free interaction in medical or food service settings
System Architecture
The system consists of:
- mmWave Radar Sensor: Captures gesture data in real-time
- AI Processing Unit: Classifies gestures using machine learning
- HID Interface: Translates gestures to standard device commands
- Configuration Software: Allows custom gesture mapping and device profiles
This innovative approach bridges the gap between natural human interaction and smart home technology, making device control more intuitive and accessible than ever before.


