Wearable Device Gesture Control for Home Automation
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Solution Overview
Problem
Current technologies for controlling home devices require user input on a terminal, lacking the ability to control devices using a wearable device without reference data, limiting convenience and versatility.
Innovation Solution
A system that enables control of home devices using a wearable device through voice input, touch interface, and gesture recognition, allowing control both inside and outside the house, utilizing a watch-type wearable device connected via Bluetooth and ZigBee protocols, with a home gateway managing communication and control signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If control is performed using a terminal device, then device control functionality is achieved, but user convenience and portability deteriorate due to the need for user input on a fixed terminal
Solution Approach 1:
The patent replaces manual terminal input operations with motion-based gesture recognition. Sensors in the wearable device detect body movements and convert them into control commands, substituting mechanical keyboard/touchscreen input with motion-based control. This improves ease of operation by allowing hands-free control while managing system complexity through sensor integration.
Solution Approach 2:
The wearable device acts as an intermediary between the user and the home devices. It captures motion data, processes gestures, and transmits control commands to terminals or directly to home devices. This mediator role improves user convenience by providing portable control while managing system complexity through layered architecture.
2Adaptability or versatility
If control requires terminal input, then precise control is achieved, but operational flexibility and mobility deteriorate
Solution Approach 1:
The wearable device provides universal control capability across multiple scenarios - indoors and outdoors, with different gestures for different functions. A single wearable device replaces the need for location-specific control methods, achieving operational flexibility and mobility while maintaining precise control through diverse gesture recognition.
3Measurement precision
If gesture recognition uses reference data, then recognition accuracy is improved, but system complexity and data requirements increase
Solution Approach 1:
The system performs self-calibration by automatically adapting to user-specific motion patterns without requiring external reference data. The wearable device learns and adapts to the user's natural gestures over time, achieving accurate recognition while reducing system complexity by eliminating the need for extensive reference databases and complex matching algorithms.
Data Source
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AI summary
The present invention proposes a method for controlling a home device. More specifically, the present invention proposes a method of utilizing a user interface, a method of utilizing a voice, and a method of utilizing a gesture such as a wrist snap utilizing a wearable device.