A study on multimodal emotional adjustment based on non-contact physiological and psychological perception in fasting and low metabolism scenes
10.16289/j.cnki.1002-0837.2024.04001
- VernacularTitle:禁食低代谢场景下基于非接触式生理心理感知的多模态情绪调适研究
- Author:
Cheng SONG
1
,
2
;
Wenjie ZHANG
;
Ziqing CAO
;
Haibo QIN
;
Yuan JIANG
;
Yanlei WANG
;
Juncong XU
;
Shuai DING
;
Bin WU
Author Information
1. 合肥工业大学管理学院,合肥 230009
2. 过程优化与智能决策教育部重点实验室,合肥 230009
- Keywords:
deep space exploration;
fasting and low metabolism;
non-contact detection;
emotion adjustment
- From:Space Medicine & Medical Engineering
2024;35(4):201-208,240
- CountryChina
- Language:Chinese
-
Abstract:
Objective Explore the comprehensive emotion adjustment pattern that combines non-contact physiological and psychological detection methods in fasting and low metabolism scenarios.This study aims to verify the accuracy of non-contact physiological and psychological detection algorithms and evaluate the effectiveness of multimodal emotion adjustment schemes for addressing negative emotional states such as depression and anxiety.Methods Deploy non-contact physiological and psychological detection algorithms and emotion adjustment plans to build a multimodal emotion adjustment system.Collect physiological and psychological data from volunteers participating in the 15-days complete fasting human low metabolism experiment of"Green Star Travel Ⅷ".Utilize finger clip oximeters and scales to verify the accuracy of existing non-contact physiological and psychological methods within the system.Design an emotion adjustment experiment featuring four groups:sound adjustment,acupoints adjustment,magnetism adjustment,and combination adjustment.Compare the volunteers'scale scores before and after the adjustments to verify the effectiveness of the system's emotion adjustment capabilities.Results The experimental results demonstrate that the average difference in the Bland-Altman plot for the non-contact heart rate detection model is ﹣0.497 bpm,with 95.3%of the error values falling within the 95%consistency interval.The non-contact psychological detection model achieved an accuracy rate of over 80%in identifying stress,anxiety,and depression,and an accuracy rate of over 70%in identifying fatigue and anger.Following emotion adjustment,the stress levels of the subjects significantly improved(P?0.05),along with notable enhancements in real-time positive and negative emotion scores.Conclusion The non-contact physiological and psychological detection methods can effectively identify the physiological and emotional states of subjects in fasting and low metabolism scenarios.Acoustic,acupoint,magnetic,and combination schemes have proven effective in alleviating negative emotional states.These methods provide a new technological approach for managing the physical and mental health of astronauts in future deep space exploration and extraterrestrial residency scenarios.