Upbeat: Augmented Reality-Guided Dancing for Prosthetic Rehabilitation of Upper Limb Amputees
المؤلفون المشاركون
Melero, Marina
Hou, Annie
Cheng, Emily
Tayade, Amogh
Lee, Sing Chun
Unberath, Mathias
Navab, Nassir
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-19
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Unsuccessful rehabilitation therapy is a widespread issue amongst modern day amputees.
Of the estimated 10 million amputees worldwide, 3 million of whom are upper limb amputees, a large majority are discontent and experience rejection with their current prosthesis during activities of daily living (ADL).
Here we introduce Upbeat, an augmented reality (AR) dance game designed to improve rehabilitation therapies in upper limb amputees.
In Upbeat, the patient is instructed to follow a virtual dance instructor, performing choreographed dance movements containing hand gestures involved in upper limb rehabilitation therapy.
The patient’s position is then tracked using a Microsoft Kinect sensor while the hand gestures are analyzed using EMG data collected from a Myo Armband.
Additionally, a gamified score is calculated based on how many gestures and movements were correctly performed.
Upon completion of the game, a diagnostic summary of the results is shown in the form of a graph summarizing the collected EMG data, as well as with a video displaying an augmented visualization of the patient’s upper arm muscle activity during gameplay.
By gamifying the rehabilitation process, Upbeat has the potential to improve therapy on upper limb amputees by enabling the start of rehabilitation immediately after trauma, providing personalized feedback which professionals can utilize to accurately assess patient’s progress, and increasing patient excitement, therefore increasing patient willingness to complete rehabilitation.
This paper is concerned with the description and evaluation of our prototypic implementation of Upbeat that will serve as the basis for conducting clinical studies to evaluate its impact on rehabilitation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Melero, Marina& Hou, Annie& Cheng, Emily& Tayade, Amogh& Lee, Sing Chun& Unberath, Mathias…[et al.]. 2019. Upbeat: Augmented Reality-Guided Dancing for Prosthetic Rehabilitation of Upper Limb Amputees. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1175067
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Melero, Marina…[et al.]. Upbeat: Augmented Reality-Guided Dancing for Prosthetic Rehabilitation of Upper Limb Amputees. Journal of Healthcare Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1175067
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Melero, Marina& Hou, Annie& Cheng, Emily& Tayade, Amogh& Lee, Sing Chun& Unberath, Mathias…[et al.]. Upbeat: Augmented Reality-Guided Dancing for Prosthetic Rehabilitation of Upper Limb Amputees. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1175067
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175067
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر