Massage Apparatus Deriving Emotional Indications from Physiological Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current massage devices primarily focus on measuring physiological parameters but lack comprehensive indicators that affect an individual's well-being, such as emotional states like stress and tension, which are not adequately addressed.
Innovation Solution
A system and method that incorporates physiological sensors to derive emotional parameters by using a mathematical function combining heart rate, respiration rate, and stress levels to quantify body tension, with weights calibrated based on individual or group data, and utilizes a processor to receive and process datasets for emotional indication derivation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only physiological parameters are measured, then the measurement system remains simple, but the comprehensiveness of well-being assessment is insufficient
Solution Approach 1:
The patent combines multiple physiological parameters (heart rate, respiration rate, stress level) into a unified emotional state assessment system. By merging these measurements and processing them through a mathematical model to derive emotional indications, the system achieves comprehensive well-being assessment without requiring separate complex systems for each parameter.
Solution Approach 2:
The system uses a multi-functional approach where a single measurement system collects multiple physiological parameters simultaneously. The processor then performs multiple functions: deriving first emotional indications from individual parameters, combining them to derive second emotional indications, and providing comprehensive feedback. This universal system replaces the need for separate specialized systems.
2Measurement precision
If multiple physiological parameters are collected and processed to derive emotional indications, then the emotional state assessment becomes comprehensive, but the data processing complexity increases
Solution Approach 1:
The system performs preliminary processing of physiological parameters by deriving first emotional indications from individual parameters (heart rate, respiration rate, stress level) before combining them. This preliminary action organizes the data in a structured manner, making the subsequent derivation of second emotional indications more manageable and less complex.
Solution Approach 2:
The system uses feedback mechanisms where the derived emotional indications are fed back into the processing system. The first emotional indications serve as inputs for deriving second emotional indications, creating a feedback loop that refines the assessment. This structured feedback approach simplifies the overall processing complexity by organizing data flow systematically.
Data Source
AI summary
Disclosed is a massage apparatus including a processor configurable to receive a first dataset associated with a physiological parameter of an individual to derive a first emotional indication of the individual; wherein the first emotional indication and the first dataset are configured as inputs to derive a second emotional indication of the individual.


