Wearable Accessory Biometric Control for VR
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Solution Overview
Problem
Current control systems lack efficient methods for individualized control based on biometric characteristics, such as heart rate variability and second derivative of photoplethysmogram, to manage home appliances, power systems, vehicle devices, security systems, and warning devices without requiring continuous user input.
Innovation Solution
A biometric control system that uses a detection device to identify users through biometric characteristics like heart rate variability and second derivative of photoplethysmogram, generating an ID signal to control connected devices for intelligent, security, and interactive control, including fatigue monitoring and warning systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric detection is implemented to enable individualized control, then user identification accuracy and system personalization are improved, but device complexity and measurement difficulty increase
Solution Approach 1:
The wearable accessory integrates multiple biometric detection functions (heart rate, temperature, movement) into a single device that can identify users and control multiple types of devices (home appliances, security systems, vehicle devices). This multi-functional approach improves identification accuracy while managing system complexity through consolidation.
Solution Approach 2:
The system introduces a wearable accessory as an intermediary device between the user and the control system. This intermediary captures biometric data and transmits it to the image viewing device, which then controls target devices. This mediation layer simplifies the overall architecture by centralizing biometric processing.
2Reliability
If continuous biometric monitoring is performed for individualized control, then control accuracy and security are improved, but energy consumption increases
Solution Approach 1:
The system performs biometric monitoring at periodic intervals rather than continuously. The wearable accessory captures biometric data when triggered by specific events (device activation, user approach) or at scheduled times, maintaining control accuracy while reducing energy consumption compared to constant monitoring.
Solution Approach 2:
The wearable accessory autonomously manages its own power consumption by activating sensors only when needed for detection. The system self-regulates monitoring intensity based on whether a user is present and whether control actions are required, eliminating the need for continuous high-power operation.
3Reliability
If multiple biometric parameters are monitored for comprehensive user identification, then identification reliability is improved, but measurement complexity and data processing requirements increase
Solution Approach 1:
The system segments biometric measurement into distinct functional modules within the wearable accessory: heart rate detection, temperature sensing, and movement detection. Each module independently measures one parameter, simplifying the detection process for each while maintaining comprehensive identification reliability through the combination of multiple segmented measurements.
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 personalized control of various systems and devices based on user identification, enhancing energy efficiency, security, and user interaction through continuous monitoring of biometric data.
Implementation Method 1
detects an intensity variation of the penetrating light based on the feature that the oxyhemoglobin and the deoxyhemoglobin have different absorptivities in particular spectrum
Implementation Method 2
another kind of electrode type biosensor monitors the biometric characteristics such as the heart rate variability (HRV), electroencephalography (EEG), galvanic skin response (GSR), electrocardiogram (ECG) and electromyography (EMG) by detecting bio-signals
Data Source
AI summary
A virtual reality system including an image viewing device and a wearable accessary is provided. The image viewing device detects a biometric characteristic to identify a user ID according to the biometric characteristic, outputs an ID signal associated with the identified user ID and shows video stream associated with the identified user ID. The wearable accessary detects an attached status and movement of the wearable accessary after receiving the ID signal, and sends a control signal to the image viewing device to change image content in the video stream according to the detected movement of the wearable accessary when the attached status indicates continuous wearing.