&You: Design of a Sensor-Based Wearable Device for Use in Cognitive Behavioral Therapy

被引:2
|
作者
McEuen, Aaron [1 ]
Proffitt, John [1 ]
Camba, Jorge D. [1 ]
Kwon, EunSook [1 ]
机构
[1] Univ Houston, Gerald D Hines Coll Architecture & Design, TX 4200 Elgin St, Houston, TX 77204 USA
关键词
Wearable devices; Cognitive behavioral therapy; Medical device design; DISORDERS; STRESS; MOBILE; SELF;
D O I
10.1007/978-3-319-41652-6_24
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cognitive Behavioral Therapy (CBT) is a psychotherapy treatment that trains an individual to adjust negative patterns of thinking and behavior associated with their disorder. In this paper, we present &You, a low-cost nonintrusive wearable device for use in CBT to assist patients with anxiety disorders. Our device reinforces habit forming processes by passively detecting measurable stress symptoms and notifying the user before a stimulus elicits a severe anxiety attack. Notifications are delivered as a series of brief vibrating pulses that can be stopped by tapping the device, which is strategically placed at the nape of the user's neck. The gesture of deactivating the notification forces the wearer into a body position that naturally expands their chest and increases lung capacity, which directly calms the user and disrupts the user's negative thought pattern.
引用
下载
收藏
页码:251 / 260
页数:10
相关论文
共 50 条
  • [21] Sensor-based wireless wearable systems for healthcare and falls monitoring
    Meimei, H. (huomm@zucc.edu.cn), 1600, Exeley Inc (06):
  • [22] Wearable Sensor-Based Gait Analysis for Age and Gender Estimation
    Ahad, Md Atiqur Rahman
    Thanh Trung Ngo
    Antar, Anindya Das
    Ahmed, Masud
    Hossain, Tahera
    Muramatsu, Daigo
    Makihara, Yasushi
    Inoue, Sozo
    Yagi, Yasushi
    SENSORS, 2020, 20 (08)
  • [23] Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review
    Kudrinko K.
    Flavin E.
    Zhu X.
    Li Q.
    Kudrinko, Karly (karly.kudrinko@queensu.ca), 1600, Institute of Electrical and Electronics Engineers Inc. (14): : 82 - 97
  • [24] Designing Wearable Sensor-based Analytics for Quantitative Mobility Assessment
    Sprint, Gina
    Cook, Diane J.
    Weeks, Douglas L.
    2016 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP), 2016, : 68 - 75
  • [25] Evaluation of Feature Engineering on Wearable Sensor-based Fall Detection
    Ramachandran, Anita
    Ramesh, Adarsh
    Karuppiah, Anupama
    2020 34TH INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2020), 2020, : 110 - 114
  • [26] Wearable Sensor-Based Detection of Influenza in Presymptomatic and Asymptomatic Individuals
    Temple, Dorota S.
    Hegarty-Craver, Meghan
    Furberg, Robert D.
    Preble, Edward A.
    Bergstrom, Emma
    Gardener, Zoe
    Dayananda, Pete
    Taylor, Lydia
    Lemm, Nana Marie
    Papargyris, Loukas
    McClain, Micah T.
    Nicholson, Bradly P.
    Bowie, Aleah
    Miggs, Maria
    Petzold, Elizabeth
    Woods, Christopher W.
    Chiu, Christopher
    Gilchrist, Kristin H.
    JOURNAL OF INFECTIOUS DISEASES, 2023, 227 (07): : 864 - 872
  • [27] Wearable sensor-based monitoring system for human behavior estimation
    Zheng, Wei
    Yoshihara, Yuri
    Tang, Dalai
    Kubota, Naoyuki
    2015 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI), 2015, : 474 - 477
  • [28] Video Analysis Verification of Wearable Sensor-based Head Impacts
    Cortes, Nelson
    Stone, Hannah
    Lincoln, Andrew
    Hepburn, Lisa
    Putukian, Margot
    Myer, Gregory
    Caswell, Shane
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2016, 48 (05): : 780 - 780
  • [29] SENSOR-BASED WIRELESS WEARABLE SYSTEMS FOR HEALTHCARE AND FALLS MONITORING
    Hou Honglun
    Huo Meimei
    Wu Minghui
    INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2013, 6 (05): : 2200 - 2216
  • [30] Wearable Sensor-Based Rehabilitation Exercise Assessment for Knee Osteoarthritis
    Chen, Kun-Hui
    Chen, Po-Chao
    Liu, Kai-Chun
    Chan, Chia-Tai
    SENSORS, 2015, 15 (02): : 4193 - 4211