Wearable Gesture Mapping for Intuitive Multi-Device Control
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Solution Overview
Problem
Existing electronic devices lack efficient and intuitive methods for multi-device gesture control, particularly for IoT devices and other electronic devices, limiting user interaction and control flexibility.
Innovation Solution
A wearable device, such as a smartwatch, uses sensors like UWB, IMU, and EMG to detect gestures and control elements of multiple devices, enabling selection and control through a finite set of gestures, with machine learning models to recognize and execute user inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional input components (keyboards, touchpads, touchscreens, buttons) are used for device control, then control functionality is provided, but user interaction efficiency and intuitiveness deteriorate
Solution Approach 1:
The patent replaces traditional mechanical input components (keyboards, touchpads, touchscreens, buttons) with a gesture-based control system using sensors (UWB, IMU, EMG) to detect body movements and translate them into control commands, eliminating the need for physical input devices and significantly improving user interaction efficiency
Solution Approach 2:
The wearable device serves multiple functions: it acts as a gesture detection device, a control interface for multiple electronic devices, and a universal remote control system that can interact with various types of devices (televisions, audio equipment, computing devices) through a single unified gesture recognition platform
2Adaptability or versatility
If gesture control is implemented for multiple devices, then control flexibility improves, but system complexity increases
Solution Approach 1:
The system segments the control of multiple devices by first detecting which specific device the user intends to control through gesture direction and proximity, then processing the control command for that selected device, thereby managing complexity through hierarchical device selection and individualized control processing
Solution Approach 2:
The wearable device acts as an intermediary between the user and multiple electronic devices, receiving gestures, determining target devices based on device proximity and selection criteria, and relaying appropriate control commands to the selected device, thus simplifying the overall system architecture through a centralized control mediator
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables seamless and intuitive gesture-based control of various devices, enhancing user interaction and flexibility in controlling multiple devices with a single wearable device.
Implementation Method 1
A wearable device, such as a smartwatch, uses sensors like UWB, IMU, and EMG to detect gestures and control elements of multiple devices
Implementation Method 2
A wearable device, such as a smartwatch, uses sensors like UWB, IMU, and EMG to detect gestures
Implementation Method 3
A wearable device, such as a smartwatch, uses sensors like UWB, IMU, and EMG to detect gestures
Data Source
AI summary
Aspects of the subject technology relate to gesture-control inputs to an electronic device for controlling one or more other devices. The electronic device can efficiently provide gesture control for multiple other devices by mapping a finite set of user gestures to a specific set of gesture-control elements for each of the multiple other devices. In this way a single gesture can be detected for potentially controlling various different functions of various different devices. Prior to gesture control, the electronic device may receive a selection of a particular one of the multiple other devices for control, and obtain the specific set of gesture-control elements for gesture control of that selected device.