Wearable Computing Apparatus Brainwave Sensor Control
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Solution Overview
Problem
Current wearable computing devices lack the ability to seamlessly integrate bio-signal measurements for intuitive control of device functions, limiting user interaction and efficiency.
Innovation Solution
A wearable computing device equipped with bio-signal measuring sensors, including brainwave sensors, that acquire and process bio-signal measurements to determine corresponding device control actions, allowing for intuitive modification of displayed images and control of device components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wearable computing devices use traditional input methods (keyboard, mouse, touch screen), then device control functionality is achieved, but user interaction complexity and time consumption increase
Solution Approach 1:
The patent replaces mechanical input devices (keyboard, mouse, trackpad) with motion-capture sensors that detect voluntary body movements. This substitution allows users to issue commands through natural gestures captured by accelerometers, gyroscopes, and other motion sensors, eliminating the need for physical keyboard typing or mouse clicking, thereby reducing interaction time and complexity
Solution Approach 2:
The system enables self-service operation by automatically capturing and interpreting user gestures without requiring manual device manipulation. The motion-capture system continuously monitors body movements and automatically translates them into device commands, allowing the device to serve itself by interpreting the user's natural motions rather than requiring the user to manually operate device controls
2Adaptability or versatility
If wearable computing devices incorporate multiple sensors for gesture capture, then interaction versatility improves, but device complexity increases
Solution Approach 1:
The patent implements a universal motion-capture system that uses multiple sensors (accelerometers, gyroscopes, magnetometers) to detect various types of voluntary body movements across different body parts. This multi-functional sensor array can capture gestures from hands, arms, head, and other body parts, providing versatile interaction methods while managing complexity through integrated sensor fusion algorithms that process inputs from all sensors through a unified processing framework
Data Source
AI summary
A method is provided, performed by a wearable computing device comprising at least one bio-signal measuring sensor, the at least one bio-signal measuring sensor including at least one brainwave sensor, comprising: acquiring at least one bio-signal measurement from a user using the at least one bio-signal measuring sensor, the at least one bio-signal measurement comprising at least one brainwave state measurement; processing the at least one bio-signal measurement, including at least the at least one brainwave state measurement, in accordance with a profile associated with the user; determining a correspondence between the processed at least one bio-signal measurement and at least one predefined device control action; and in accordance with the correspondence determination, controlling operation of at least one component of the wearable computing device, such as modifying content displayed on a display of the wearable computing device. Various types of bio-signals, including brainwaves, may be measured and used to control the device in various ways.