HCI Gesture Control

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.

Device-free gesture control system for smart TV.
Device-free gesture control system for smart TV.

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
Volume, channel, menu navigation
Volume, channel, menu navigation
Play, pause, volume control
Play, pause, volume control
On/off, brightness, color
On/off, brightness, color

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:

  1. mmWave Radar Sensor: Captures gesture data in real-time
  2. AI Processing Unit: Classifies gestures using machine learning
  3. HID Interface: Translates gestures to standard device commands
  4. 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.

Qin Chen 陈钦
Qin Chen 陈钦
Ph.D of Information and Communication Engineering

My research interests include Human-computer interaction, signal processing and machine learning.