Portable Assessment of Emotional Status and Support System

In this paper,we propose a system that can capture and assess users emotional status and provide support.The system includes a user profile database,an expert knowledge rule base,an education material database,and a portable emotion-sensing module.A user answers standardized questionnaires and visual analogue scales regarding to different emotions including depression,anxiety and stress,while recording daily activities and contextual factors leading to mood change through the portable emotion-sensing module in real time.The portable emotion-sensing module stores these variables in the cloud-based user profile database via Wi-Fi.The expert knowledge rule base in the cloud server receives values and distributing patterns of the variables to determine the corresponding mood symptoms and their severity.The educational material database,based on mindfulness-based cognitive therapy,returns guidance and encouragements to the portable emotion sensing module through the internet to provide the user with real-time support.In the focus group testing,we invited twenty medical professionals and ten graduate school students to evaluate the system.Preliminary results showed that participants found the system helpful in achieving better awareness of their ever- changing emotional states,and that mindfulness-based audio guidance indeed helped them reduce stress and negative emotions.Subsequent pilot studies on patients with mild to moderate depression will help elucidate the clinical feasibility and efficacy of the proposed system.
emotional status moderate depression portable emotion sensing module
Pei-Ching Yang Chia-Chi Chang Yen-Lin Chen Jung-Hsien Chiang Galen Chin-Lun Hung
Department of Computer Science and Information Engineering,National Cheng Kung University, Tainan, T Department of Addiction Science, Taipei City Psychiatric Center,Taipei City Hospital, Taipei, Taiwan
国际会议
The Third International Coference on Health Information Science(HIS2014)2014年第三届健康信息学国际学术会议
深圳
英文
175-183
2014-04-22(万方平台首次上网日期,不代表论文的发表时间)