DocumentCode
186291
Title
Android TWEETY — A wireless activity monitoring and biofeedback system designed for people with Anorexia Nervosa
Author
Ting Zhang ; Klein, Dominik ; Walsh, Thomas ; Jiang Lu ; Sazonov, Edward S.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Alabama, Tuscaloosa, AL, USA
fYear
2014
fDate
11-12 June 2014
Firstpage
1
Lastpage
5
Abstract
Anorexia Nervosa is a life-threatening psychiatric condition that is typically associated with food restriction and may also be associated with excessive Physical Activity (PA), including fidgeting. Therefore, patients may benefit from interventions aimed at reducing excessive physical activity. We developed a prototype of a shoe-based wireless activity monitoring and biofeedback system (TWEETY) that provides audiovisual feedback on an android phone. Tweety is based on SmartShoe with built in pressure sensors and accelerometers. The system monitors daily activities, characterized as sitting, standing, walking, and provides multiple levels of feedback when the subject is sitting while fidgeting. The sensor data are wirelessly delivered to a remote server that runs a pattern recognition algorithm and sends the feedback response to the user´s phone. The user-interface uses a sprite of a canary bird to provide multiple levels of feedback. The system was tested on 2 healthy subjects. Preliminary results show that the activity monitoring and biofeedback system has a high level of accuracy and may be suitable for helping Anorexia Nervosa patients´ rehabilitation.
Keywords
audio-visual systems; diseases; gait analysis; patient monitoring; patient rehabilitation; smart phones; Android TWEETY; Android phone; accelerometers; anorexia nervosa patients rehabilitation; audiovisual feedback; biofeedback system; excessive physical activity; fidgeting; food restriction; life-threatening psychiatric condition; pattern recognition algorithm; pressure sensors; shoe-based wireless activity monitoring; sitting; smartshoe; standing; user-interface; walking; Biological control systems; Classification algorithms; Legged locomotion; Sensors; Servers; Smart phones; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
Conference_Location
Lisboa
Print_ISBN
978-1-4799-2920-7
Type
conf
DOI
10.1109/MeMeA.2014.6860132
Filename
6860132
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