Harmful Behavior Detection System Using Multi-Parameter Voice and Vital Data Analysis
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Solution Overview
Problem
Current systems fail to accurately detect and handle harmful behaviors such as power harassment, sexual harassment, and bullying in work environments, as they rely on keyword detection and cannot determine mental and physical states effectively, leading to inadequate prevention and handling of such issues.
Innovation Solution
A harmful behavior detecting system that uses a computer to analyze voice data, emotion information, vital data, and location information to calculate an index value, estimating the state of harmful behavior and outputting handling data to support the handling of such behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If keyword detection is used to detect harmful behavior, then the system is simple to implement, but the detection accuracy is insufficient and cannot determine mental and physical states
Solution Approach 1:
The patent combines multiple detection methods (voice analysis, emotion recognition, vital data monitoring) into a unified harmful behavior detection system. This integration allows the system to achieve high detection accuracy by analyzing multiple parameters simultaneously while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The system transitions from simple keyword detection to multi-parameter analysis including voice characteristics, emotion states, and vital data. By changing the detection parameters from text-only to comprehensive physiological and behavioral parameters, the system achieves superior detection accuracy in identifying harmful behaviors and mental states.
2Measurement precision
If comprehensive data analysis (voice, emotion, vital data) is performed to accurately detect harmful behavior, then detection accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis on voice and emotion data in real-time as they are collected, rather than processing all data at once. This allows for continuous monitoring and early detection of harmful behaviors, reducing the time lag between behavior occurrence and detection while maintaining comprehensive analysis accuracy.
Solution Approach 2:
The system prioritizes processing of critical parameters (such as emotion intensity and vital data changes) over less urgent data. When harmful behavior patterns are detected, the system rapidly processes relevant data streams to minimize detection delay, effectively skipping non-essential processing steps during critical events.
3Reliability
If multiple parameters (words, emotion, vital data) are analyzed to estimate harmful behavior state, then the ability to identify victims and assailants improves, but the complexity of data processing increases
Solution Approach 1:
The patent segments the data processing into distinct modules: voice analysis module, emotion recognition module, vital data monitoring module, and integration module. Each module processes specific parameters independently and outputs standardized results, which are then integrated to identify victims and assailants. This segmentation reduces overall system complexity while maintaining reliable identification capabilities.
Solution Approach 2:
The system introduces an intermediary processing layer that standardizes and normalizes data from different sources (voice, emotion, vital data) before integration. This intermediary layer translates diverse data formats into a unified analysis framework, simplifying the integration process and improving the reliability of victim and assailant identification without requiring complex direct processing of all raw data.
Data Source
AI summary
A technique capable of detecting harmful behavior such as power harassment, sexual harassment, or bullying in work environment to support handling is provided. A harmful behavior detecting system includes a computer that executes observation and detection regarding harmful behavior including power harassment, sexual harassment, and bullying among people in work environment. The computer obtains voice data into which voice around a target person is inputted; obtains voice information containing words and emotion information from the voice data; and obtains data such as vital data, date and time, or a location of the target person. The computer uses five elements including words and an emotion of the other person, words, an emotion, and vital data of the target person to calculate an index value regarding the harmful behavior; estimate a state of the harmful behavior based on the index value; and output handling data for handling the harmful behavior in accordance with the estimated state.