Virtual Care System Anomaly Detection via Computer Vision
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Manual comparison of user movement and speech with historical data or statistical norms is inefficient and prone to inconsistent results due to the large size and variability of the data, making it difficult to achieve accurate medical diagnoses in remote healthcare settings.
Innovation Solution
An interactive virtual care system utilizing computer-vision technology and multi-modal data acquisition, including depth cameras and microphone arrays, to capture and analyze user movements and speech, generating a computer-generated version that highlights anomalies for objective comparison with historical data or statistical norms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual comparison of user movement and speech with historical data is performed, then diagnostic analysis can be conducted, but the process becomes inefficient and prone to inconsistent results due to large data size and variability
Solution Approach 1:
The patent replaces manual visual inspection and subjective interpretation with computer-vision technology and automated analysis systems. Depth cameras capture movement data, microphone arrays record speech, and algorithms objectively compare these against historical data, eliminating human subjectivity and significantly improving both diagnostic accuracy and evaluation efficiency
Solution Approach 2:
The system creates computer-generated versions of user movements and speech patterns that can be precisely replicated and compared against historical data. This digital copying enables consistent, repeatable analysis without the variability inherent in manual observation
2Ease of operation
If visual inspection of individual movements is performed by health care providers, then diagnostic evaluation can be conducted, but the results become subjective based on provider interpretation
Solution Approach 1:
The patent substitutes human visual inspection with automated computer-vision systems that objectively capture and analyze movement data. Depth cameras and sensors replace the health care provider's eyes and interpretation, eliminating subjectivity while maintaining ease of operation through automated processing
Solution Approach 2:
The system enables objective self-evaluation by capturing user movements and speech, automatically comparing them against historical data and statistical norms. The computer-generated analysis provides reliable, consistent results without requiring subjective human interpretation
3Measurement precision
If computer-vision technology and multi-modal data acquisition are used to capture and analyze user movements and speech, then objective anomaly identification is achieved, but system complexity increases
Solution Approach 1:
The patent divides the complex analysis task into separate modular components: depth cameras for movement capture, microphone arrays for speech recording, and distinct algorithms for processing each data type. This segmentation manages system complexity by organizing functions into independent, manageable modules while maintaining high detection accuracy
Data Source
Figure 1
Figure 2
Figure 3
AI summary
An interactive virtual care system may include a user sensory module to acquire multi-modal user data related to user movement. A data analysis module may compare the multi-modal user data to predetermined historical user data and/or statistical norm data for users to identify an anomaly in the user movement.