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Mental health management and mental well-being support tool

Project
18033 Mad@Work
Type
Enhancement
Description

This result is a program that detects stress through biosignals and questionnaires and suggests stress relief solutions optimized for users in order to maintain healthy mental health.

Contact
Hyunsuk Kim
Email
hyskim@etri.re.kr
Research area(s)
Mental Health Measurement
Technical features

This result is a tool that collects survey information from users to analyze the state of mental health, collects biosignals using wearable devices, and then analyzes mental health using artificial intelligence technology. If the user is predicted to be stressed, an optimized stress relief solution is provided to the user according to the user's stress state.

Integration constraints

JAVA,python, maven, tomcat, postgresql

Targeted customer(s)

Workers who need mental health management and work stress relief, Mental health management and work stress measurement SW developers and companies

Conditions for reuse

It can be used after signing a commercial technology transfer agreement. (https://itec.etri.re.kr/itec/main/index.do)

Confidentiality
Public
Publication date
10-10-2023
Involved partners
ETRI (Electronics and Telecommunications Research Institute) (KOR)
Neighbor System Co.,Ltd. (KOR)