Emotion Detection System Using Physiological and Non-Physiological Data
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Solution Overview
Problem
Current emotion computing and communication techniques rely solely on physiological parameters and lack automation in communicating emotional states, failing to incorporate non-physiological data and user preferences.
Innovation Solution
A system comprising a data acquisition unit, emotion determination unit, and emotion reporting unit that detects and processes both physiological and non-physiological data, including location and ambient conditions, to determine and automatically communicate emotional states based on predefined preferences through connected devices and social networking applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If emotion determination is based only on physiological parameters, then the system complexity is reduced, but the measurement precision of emotional state is insufficient
Solution Approach 1:
The patent combines multiple data sources including physiological parameters (heart rate, skin conductance), non-physiological parameters (location, ambient temperature), and user-generated content (social media posts, text messages) into a unified emotion determination system. This merging of diverse data types enables more accurate emotional state assessment while managing system complexity through integrated processing.
Solution Approach 2:
The system employs a multi-functional data acquisition unit that can collect various types of data (physiological, environmental, behavioral) using a single integrated platform. This universal approach allows the system to determine emotional states through multiple pathways, improving precision without requiring separate specialized systems for each data type.
2Extent of automation
If manual communication of emotional state is used, then the ease of operation is maintained, but the extent of automation is reduced
Solution Approach 1:
The system performs preliminary actions by automatically determining and preparing emotional state information for communication before user intervention is needed. It pre-processes physiological and non-physiological data to generate emotion assessments, and can automatically share these via social media or notify contacts without requiring manual user input at the moment of emotional expression.
Solution Approach 2:
The system enables self-service automatic communication where the emotion determination and sharing process occurs autonomously based on detected physiological and environmental parameters. The user's device automatically communicates emotional states to selected contacts or social media platforms without requiring the user to manually compose or send messages, thus achieving high automation while maintaining simplicity.
3Loss of information
If only physiological data is collected, then the device complexity is reduced, but the loss of information is increased
Solution Approach 1:
The patent merges physiological data collection with non-physiological data collection (location services, ambient sensors, communication app access) into a unified data acquisition architecture. This combination ensures comprehensive information capture about the user's emotional state by integrating multiple data streams that complement each other, reducing information loss while managing complexity through integrated processing.
Data Source
AI summary
According to various aspects of the present disclosure, a system and associated method and functions to determine an emotional state of a user are disclosed. In some embodiments, the disclosed system includes a data acquisition unit, an emotion determination unit, and an emotion reporting unit. The data acquisition unit is configured to detect user information including physiological and non-physiological data associated with the user. The emotion determination unit is operatively connected to the data acquisition unit, and is configured to process the user information to determine an emotional state of the user. The emotion reporting unit is configured to communicate the emotional state based on a predetermined reporting preference to an application of a communication device, e.g., a social-networking application to share the emotional state of the user such that other members of the social network associated with the user are notified of the user's emotional state.