A Smart Glove to Track Fitness Exercises by Reading Hand Palm
المؤلفون المشاركون
Arakawa, Yutaka
Yasumoto, Keiichi
Akpa, A. H. Elder
Fujiwara, Masashi
Suwa, Hirohiko
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-05-21
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
Medical studies have intensively demonstrated that sports activity can enhance both the mental and the physical health of practitioners.
In recent years, fitness activity became the most common way to motivate and engage people in sports activity.
Recently, there have been multiple attempts to elaborate on the “ideal” IoT-based solution to track and assess these fitness activities.
Most fitness activities (except aerobic activities like running) involve one or multiple interactions between the athlete’s hand palms and body or between the hand palms and the workout materials.
In this work, we present our idea to exploit these biomechanical interactions of the hand palms to track fitness activities via a smart glove.
Our smart glove-based system integrates force-sensitive resistor (FSR) sensors into wearable fitness gloves to identify and count fitness activity, by analyzing the time series of the pressure distribution in the hand palms observed during fitness sessions.
To assess the performance of our proposed system, we conducted an experimental study with 10 participants over 10 common fitness activities.
For the user-dependent activity recognition case, the experimental results showed 88.90% of the F score for overall activity recognition.
The result of leave-one-participant-out cross-validation showed an F score ranging from 58.30% to 100%, with an average of 82.00%.
For the exercise repetition count, the system achieved an average counting error of 9.85%, with a standard deviation of 1.38.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Akpa, A. H. Elder& Fujiwara, Masashi& Suwa, Hirohiko& Arakawa, Yutaka& Yasumoto, Keiichi. 2019. A Smart Glove to Track Fitness Exercises by Reading Hand Palm. Journal of Sensors،Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1191835
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Akpa, A. H. Elder…[et al.]. A Smart Glove to Track Fitness Exercises by Reading Hand Palm. Journal of Sensors No. 2019 (2019), pp.1-19.
https://search.emarefa.net/detail/BIM-1191835
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Akpa, A. H. Elder& Fujiwara, Masashi& Suwa, Hirohiko& Arakawa, Yutaka& Yasumoto, Keiichi. A Smart Glove to Track Fitness Exercises by Reading Hand Palm. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1191835
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1191835
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