Smart workstation method and system
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Solution Overview
Problem
Existing workstations and furniture lack efficient systems for sensing physiological parameters and behavioral data of users, leading to inadequate feedback and encouragement for healthy behaviors, as they often require batteries to be manually recharged and do not seamlessly integrate with user preferences or provide privacy in data collection.
Innovation Solution
Incorporating sensors and actuators within furniture, such as office chairs and tables, that utilize inductive or electrical charging systems to maintain battery power and adjust settings based on user data, ensuring minimal user intervention and maintaining privacy through automatic charging and data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors and actuators are incorporated within furniture to enable continuous data collection and environmental adjustments, then user health monitoring and personalized feedback are improved, but device complexity and power management requirements increase
Solution Approach 1:
The patent combines sensors, actuators, power supplies, and control systems into integrated furniture assemblies. Sensors are embedded in furniture components like chair cushions and desk surfaces, while actuators are integrated into mechanical adjustment mechanisms. This merging reduces overall system complexity by consolidating multiple functional elements into unified furniture units rather than separate components.
Solution Approach 2:
The furniture system performs multiple functions simultaneously: sensing physiological parameters, providing haptic feedback, adjusting environmental settings, and managing power supply. A single furniture unit serves as both the working surface and the health monitoring station, eliminating the need for separate wearable devices and control systems.
2Ease of operation
If inductive or electrical charging systems are used to maintain battery power automatically, then user convenience is improved by reducing manual recharging, but energy consumption and system complexity increase
Solution Approach 1:
The system performs charging actions in advance by incorporating inductive charging fields in desk surfaces or floor mats that continuously top-up battery-powered furniture components during normal use. This preliminary charging prevents battery depletion before manual intervention would be needed, making the charging process transparent to the user.
Solution Approach 2:
The furniture system autonomously manages its own power needs through integrated battery packs and inductive charging capabilities. The system automatically monitors battery levels and initiates charging when power is available, without requiring user awareness or intervention. This self-service approach eliminates manual plugging and unplugging of power cords.
3Measurement precision
If sensors continuously monitor physiological parameters and behavioral data, then personalized health feedback is improved, but user privacy concerns are exacerbated by extensive data collection
Solution Approach 1:
The system processes and analyzes physiological data locally within the furniture unit rather than transmitting raw data to external servers. Only aggregated health metrics and actionable insights are communicated to the user through haptic feedback or display interfaces, keeping detailed personal information confined to the local processing unit and minimizing privacy exposure.
4Adaptability or versatility
If multiple sensors and actuators are integrated into furniture components, then functionality and user engagement are improved, but manufacturing complexity and cost increase
Solution Approach 1:
The furniture system is divided into modular functional units: sensor arrays embedded in specific components like chair cushions, separate actuator modules for armrest and lumbar support adjustment, independent battery packs, and distinct control circuitry. This segmentation allows each module to be manufactured and tested independently before final assembly, reducing overall manufacturing complexity despite the system's advanced functionality.
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 continuous and accurate data collection for improving user health and wellbeing by providing personalized feedback and adjustments to work environments, enhancing user comfort and productivity while maintaining privacy and reducing maintenance burdens.
Implementation Method 1
Incorporating sensors and actuators within furniture, such as office chairs and tables, that utilize inductive or electrical charging systems to maintain battery power
Data Source
AI summary
A system and method establishing control of affordances at a workstation. The method includes the steps of storing affordance preferences in a database for a plurality of portable affordance settings that may be present at a workstation, detecting a subset of affordances present within a first zone associated with the workstation, for each detected affordance in the subset, identifying an affordance setting in the database indicating a user preference, and automatically controlling settings of at least each of the detected affordances in the subset to match the user preferences for the detected affordances.


