Wearable Emotion Recognition Device for Autism Social Interaction
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Solution Overview
Problem
Individuals with autism spectrum disorders (ASDs) face significant challenges in understanding and interpreting emotions from spoken voices, leading to difficulties in communication and social interactions, which current treatment methods have not adequately addressed.
Innovation Solution
A wearable device equipped with a microphone and a machine learning algorithm that processes audio inputs to identify emotional content, providing a vibration pattern or visual output to help users recognize emotions, thereby facilitating improved social interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specialized education and behavior therapy are used to treat ASD, then social skills may be improved, but the approach limits the breadth of child interactions and requires significant time and resources
Solution Approach 1:
The patent introduces an emotion recognition system that acts as an intermediary between spoken language and emotional understanding. The system processes audio input, identifies emotional content through algorithmic analysis, and provides output that bridges the gap for individuals with ASD, enabling more natural social interactions without requiring highly structured environments
2Reliability
If current treatment methods are implemented, then some social skills may be developed, but the cost in time, effort, and dollars is extremely high
Solution Approach 1:
The emotion recognition system enables self-service by providing real-time emotional feedback that individuals with ASD can use independently. The device autonomously processes audio input and delivers emotional information without requiring constant caregiver intervention or supervision, reducing the time and resource burden on support networks
3Reliability
If structured environments are used for treatment, then behavior management may be improved, but the natural breadth of community interactions is limited
Solution Approach 1:
The patent replaces the mechanical system of structured behavioral management with an automated emotion recognition technology. The system uses audio processing and algorithmic analysis to provide real-time emotional information, allowing individuals with ASD to navigate natural community interactions without requiring highly structured environments or constant adult mediation
Data Source
AI summary
Exemplary embodiments include an assistive device to facilitate social interactions in autistic individuals by identifying emotions using a voice-detecting machine learning algorithm that extracts emotion content from an audio sample input and outputs the emotional content to a user through a device. This device may be a portable, concealable, real-time and automatic device that may receive and process an audio input. The audio input may be analyzed using a machine learning algorithm. The device may output the closest emotional match to the autistic user. The output may be tactile in nature such as a vibration pattern that is different for different identified emotions.