Mobile Device Self-Awareness Measurement via Whipping Gestures
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for measuring self-awareness, such as galvanic skin response systems, are complex, cumbersome, and difficult to use on the go due to their size and requirement for dedicated equipment and space.
Innovation Solution
A mobile computing device with motion sensors, volatile memory, and a processor that guides users through whipping gestures to assess body awareness, emotional awareness, and resiliency, generating scores based on sensor data and user inputs, providing a compact and user-friendly self-awareness measurement system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If galvanic skin response systems are used to measure self-awareness, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex electrical/physiological measurement systems (galvanic skin response sensors, bioelectrical impedance analysis equipment) with a mechanical motion-based assessment system. The mobile device uses motion sensors to detect physical gestures and movements that correlate with self-awareness states, substituting direct physiological measurement with indirect mechanical observation, thereby reducing system complexity while maintaining measurement capability
Solution Approach 2:
The patent creates a simplified model or proxy measurement system that copies the essential information needed for self-awareness assessment. Instead of directly measuring complex physiological parameters, the system captures motion patterns that serve as a proxy indicator of self-awareness states, enabling measurement without requiring the full complexity of direct physiological sensing
2Measurement precision
If galvanic skin response systems are used to measure self-awareness, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent enables the system to automatically perform the assessment without requiring operator intervention for sensor placement or data interpretation. The mobile device autonomously guides users through assessment protocols, automatically captures motion data, processes the information, and generates self-awareness scores, making the system as easy to operate as using a smartphone while maintaining measurement precision
Solution Approach 2:
The patent changes the measurement parameters from complex physiological variables requiring specialized equipment to simple motion parameters that can be captured by standard mobile device sensors. By measuring acceleration, velocity, and movement patterns during standardized gestures, the system achieves self-awareness assessment with the ease of operation of a mobile device
3Measurement precision
If galvanic skin response systems are used to measure self-awareness, then measurement precision is improved, but volume of stationary object increases
Solution Approach 1:
The patent merges the self-awareness measurement function with a common mobile computing device that users already possess. By integrating the assessment system into an existing smartphone or tablet, the patent eliminates the need for separate dedicated measurement equipment, reducing the volume of stationary objects required while maintaining measurement precision through software-based assessment protocols
Solution Approach 2:
The patent makes the mobile device serve multiple functions - it acts as both a general-purpose computing device and a specialized self-awareness measurement instrument. The motion sensors and processing capabilities of the mobile device are leveraged for dual purposes, eliminating the need for dedicated single-function equipment and thereby reducing the volume of stationary objects required
4Measurement precision
If galvanic skin response systems are used to measure self-awareness, then measurement precision is improved, but ease of manufacture deteriorates
Solution Approach 1:
The patent replaces complex electrical sensor systems with software-based motion analysis that leverages existing mobile device hardware. By substituting specialized galvanic skin response sensors with standard motion sensors already present in mobile devices, the system becomes significantly easier to manufacture and deploy, as it relies on mass-produced consumer electronics rather than specialized medical-grade components
Data Source
AI summary
A mobile computing device for measuring self-awareness of a user includes motion sensors and a processor for displaying instructions on how to conduct a whipping gesture, executing a body awareness assessment including receiving sensor data while the user performs multiple whipping gestures, executing an emotional awareness assessment including receiving sensor data while the user performs multiple whipping gestures, executing a self-assessment including receiving sensor data while the user performs multiple whipping gestures, executing a resiliency awareness assessment including receiving a response from the user to a question and generating a final self-awareness score corresponding to the user's self-awareness based on the body awareness assessment, emotional awareness assessment, self-assessment and resiliency awareness assessment.