Wearable Device Using Binary Emotional State Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mental health monitoring devices face challenges in accurately distinguishing between subjective emotional states due to individual variations in bio signal patterns, leading to false positives and negatives, and often have complex user interfaces and a lack of on-the-go mindfulness exercises.
Innovation Solution
A wearable device that simplifies user interaction by using binary emotional state classification, allowing users to identify recurring emotional transitions with a minimal button interface and infographic display, and provides background mindfulness exercises, along with a Physiological Response Model to analyze bio signals and offer personalized mindfulness interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex emotional state classification with multiple labels is used, then measurement precision of emotional states is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent segments the complex emotional state classification into two distinct parts: (1) automatic binary classification of current emotional state versus baseline state, and (2) manual user confirmation/labeling of the detected transition. This segmentation reduces the immediate user burden while maintaining comprehensive emotional tracking capability.
Solution Approach 2:
The system performs self-service by automatically detecting and classifying emotional state transitions using bio signal analysis, then presenting only the detected transitions to the user for confirmation. This eliminates the need for users to manually navigate complex emotional taxonomies, as the system serves itself in identifying what needs user attention.
2Measurement precision
If multiple emotional labels are provided for user selection, then measurement precision of emotional states is improved, but ease of operation deteriorates
Solution Approach 1:
The patent extracts only the essential confirmation action from the complex emotional labeling process. Instead of requiring users to select from multiple emotional labels, the system extracts and presents only the binary transition detection result for user confirmation, taking out the unnecessary complexity of label selection while preserving the core function of emotional state tracking.
3Productivity
If bio signal analysis is used to detect emotional states, then productivity of mental health monitoring is improved, but reliability deteriorates due to individual variations in bio signal patterns
Solution Approach 1:
The system performs preliminary action by establishing each user's baseline emotional state and bio signal patterns before actual monitoring begins. This preliminary calibration phase allows the system to learn individual variations in bio signal patterns, thereby improving reliability of subsequent emotional state detections and reducing false positives and negatives.
Solution Approach 2:
The patent implements feedback by requiring user confirmation of detected emotional transitions. This feedback loop allows the system to compare its automatic detections with actual user experiences, continuously refining its detection algorithms to better match individual patterns and reduce false detections over time.
Data Source
AI summary
A wearable device and associated method to make use of binary mental state transitions, to increase mindfulness of the wearer, is disclosed. It works from a Physiological Response Model of the wearer's binary mental states, which is derived from signal segments corresponding to those states. The device has a minimal-interaction user interface panel and a quick-glance, intuitive infographic display. It also comes with non-invasive, guided sessions for mindful breathing and mindful walking.