Automated Ergonomic Analysis Using Camera-Based Posture Detection
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Solution Overview
Problem
Conventional workplace environment management techniques fail to analyze ergonomic parameters in home and remote work settings, leading to reduced productivity and increased physical health issues due to inadequate equipment.
Innovation Solution
A computer-implemented method that automatically determines ergonomic data by processing data from models related to user position, illumination, and posture, generating notifications and recommendations based on ergonomic parameter values to improve working conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional workplace environment management techniques are used, then office equipment availability is maintained, but ergonomic analysis capability is lost in home and remote work settings
Solution Approach 1:
The system uses a camera to perform multiple functions: capturing images of the work environment, detecting user posture, measuring illumination levels, and determining workspace layout. This single device replaces multiple specialized sensors, enabling ergonomic analysis across diverse work settings (office, home, remote) without requiring location-specific equipment.
Solution Approach 2:
The patent introduces an image processing system as an intermediary that translates visual data into ergonomic assessments. The camera captures raw visual information, and through image processing algorithms, this data is converted into actionable ergonomic metrics including posture evaluation, lighting assessment, and workspace configuration analysis.
2Ease of operation
If home and remote work setups are used, then work flexibility is improved, but ergonomic equipment quality deteriorates
Solution Approach 1:
The system continuously monitors the user's work environment and provides real-time feedback through notifications. When poor posture, inadequate lighting, or improper workspace configuration is detected, the system alerts the user and suggests corrections. This closed-loop feedback mechanism enables users to maintain healthy ergonomic conditions despite using non-specialized home equipment.
Solution Approach 2:
The patent enables users to self-diagnose and self-correct ergonomic issues in their home work environments. The system empowers individuals to take responsibility for their own ergonomic well-being by providing them with actionable insights and recommendations based on automated analysis of their personal workspace, eliminating the need for professional ergonomists or expensive specialized equipment.
3Reliability
If automated ergonomic monitoring is implemented, then health and productivity are improved, but system complexity increases
Solution Approach 1:
The patent replaces complex mechanical measurement systems with an optical-based camera system. Instead of using multiple specialized sensors and mechanical measurement devices, the system uses image processing algorithms to extract ergonomic data from standard camera feeds, significantly reducing hardware complexity while maintaining monitoring accuracy.
Data Source
AI summary
Methods, apparatus, and processor-readable storage media for automatically determining work environment-related ergonomic data are provided herein. An example computer-implemented method includes obtaining ergonomic-related data pertaining to one or more of an individual within a work environment and the work environment; determining one or more ergonomic parameter values by processing at least a portion of the obtained ergonomic-related data using one or more models; generating and outputting, to the individual via one or more automated systems, at least one notification based at least in part on the one or more ergonomic parameter values; and performing one or more automated actions based at least in part on one or more of the one or more ergonomic values and the at least one notification.