Voice Control Enablement in Motion Tracking via SNR and Sensor Distance
Solution Overview
Problem
Existing motion tracking systems face challenges in determining whether voice control is feasible due to environmental noise and the user's proximity to the computing apparatus, leading to potential misinterpretation of voice commands.
Innovation Solution
A method that digitally processes sound and electromagnetic waves to calculate the signal-to-noise ratio (SNR) and sensor distances, allowing or disallowing voice control based on predetermined thresholds for SNR and the percentage of sensors meeting distance criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice control is enabled in noisy environments, then user convenience is improved, but command interpretation accuracy deteriorates
Solution Approach 1:
The system dynamically changes the operational parameter of voice control enablement/disabling based on the SNR parameter. When SNR exceeds the threshold, voice control is enabled; when it falls below, voice control is disabled. This parameter-based adaptive control resolves the contradiction by allowing voice control only under acoustic conditions that ensure both convenience and accuracy.
2Area of stationary object
If the user is placed at a distance from the computing apparatus, then sufficient room for physical exercises is provided, but voice control effectiveness deteriorates
Solution Approach 1:
The system uses the distance parameter (derived from RSSI) to dynamically control the enablement of voice control. When the user is within the maximum distance threshold, voice control is enabled; when beyond it, voice control is disabled. This allows maximum exercise space while maintaining voice control effectiveness through parameter-based adaptive disabling.
3Ease of operation
If voice control is always enabled, then user convenience is improved, but system reliability deteriorates due to incorrect operation changes
Solution Approach 1:
The system continuously monitors environmental parameters (SNR and distance) and uses this feedback to dynamically adjust the voice control enablement state. This closed-loop feedback mechanism ensures that voice control is only enabled when environmental conditions support reliable operation, thus maintaining both convenience and system reliability.
4Device complexity
If environmental noise is not monitored, then system complexity is reduced, but voice control reliability deteriorates
Solution Approach 1:
The system replaces complex mechanical or hardware-based noise filtering solutions with a software-based SNR calculation approach. By digitally processing audio signals and computing SNR through algorithmic methods, the system achieves reliable voice control monitoring without adding significant hardware complexity, thus improving reliability while maintaining acceptable system complexity.
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
Effectively enables or disables voice control in motion tracking systems, ensuring accurate command interpretation by assessing environmental noise and user proximity, thereby enhancing system reliability and user convenience.
Implementation Method 1
digitally processing, with the computing apparatus, sound detected by each microphone of the at least one microphone
Implementation Method 2
digitally processing, with the computing apparatus, electromagnetic waves captured by each antenna of the at least one antenna
Data Source
AI summary
A method for allowing or disallowing control of a motion tracking system by means of voice, comprising: digitally processing sound detected by each microphone of the at least one microphone; digitally computing SNR by computing both first energy of a voice signal in the detected sound and second energy of noise in the detected sound; digitally processing electromagnetic waves captured by each antenna of the at least one antenna so as to detect data packets transmitted to the computing apparatus by each sensor of the plurality of sensors, each data packet including RSSI of a respective sensor; digitally computing distance between each sensor and the computing apparatus based on the RSSI of the data packets received from the respective sensor; digitally computing a percentage of sensors of the plurality of sensors having at least one of: a distance exceeding a predetermined maximum distance threshold, and a change in distance exceeding a predetermined maximum changing distance threshold; and digitally setting allowance or disallowance of voice control based on both the SNR computed and the percentage of sensors computed.