Development of wearable IoT-Based front kicking angle monitoring device

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Main Authors: Nur Anida, Jumadi, Ng, Chun Keat, Cyprian Anak Awos
Other Authors: anida@uthm.edu.my
Format: Article
Language:English
Published: Kementerian Pendidikan Tinggi (KPT), Malaysia 2020
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Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/64488
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spelling my.unimap-644882020-03-13T02:52:59Z Development of wearable IoT-Based front kicking angle monitoring device Nur Anida, Jumadi Ng, Chun Keat Cyprian Anak Awos anida@uthm.edu.my Arduino NodeMCU Flex sensor Internet of Things (IoT) Front kicking angle ThingSpeak Link to publisher's homepage at http://www.mohejournal.com/index.php/mohe In this paper, a wearable front kicking angle monitoring device using flex sensor and Internet of Things (IoT) platform has been successfully developed and tested. The Arduino NodeMCU microcontroller processes and converts the input received from the flex sensor and transmits the real time front kicking angle and corresponding resistance data to the two main outputs; the ThingSpeak IoT platform and the LCD display for real monitoring. Thirty participants were recruited from two different backgrounds; silat athletes (n=20) and non-athlete participants (n=10). The participants were distributed into six weight categories: 50-55 kg, 55-60 kg, 60-65 kg, 65-70 kg, 70-75 kg and 75-80 kg. Based on the average angle measured from three trials, it can be observed that different participants had different averages and standard deviations for front kicking angle independently of weight category. Moreover, the background factor of the subjects involved did not greatly contribute in this research, as the participants from non-athlete background had the highest mean of front kicking angle (73.89 ± 17.41°). This situation is probably due to a lack of standard kicking styles set for all participants at the beginning of the experiment. Nonetheless, one conclusive remark that can be derived from the findings is the front kicking angle of an individual is greatly influenced by body weight, since the (75-80 kg) weight category achieved the lowest mean angle of front kicking for both backgrounds; non-athlete (14.00± 1.33°) and athlete (23.89± 6.44°) subjects. In the future, additional sensors such as accelerometer can be used to predict the stability of the body for better evaluation of front kicking angle. 2020-03-13T02:52:59Z 2020-03-13T02:52:59Z 2020 Article Movement, Health & Exercise (MoHE), vol.9(1), 2020, pages 103-120 2600-9404 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/64488 http://www.mohejournal.com/index.php/mohe en Kementerian Pendidikan Tinggi (KPT), Malaysia
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Arduino NodeMCU
Flex sensor
Internet of Things (IoT)
Front kicking angle
ThingSpeak
spellingShingle Arduino NodeMCU
Flex sensor
Internet of Things (IoT)
Front kicking angle
ThingSpeak
Nur Anida, Jumadi
Ng, Chun Keat
Cyprian Anak Awos
Development of wearable IoT-Based front kicking angle monitoring device
description Link to publisher's homepage at http://www.mohejournal.com/index.php/mohe
author2 anida@uthm.edu.my
author_facet anida@uthm.edu.my
Nur Anida, Jumadi
Ng, Chun Keat
Cyprian Anak Awos
format Article
author Nur Anida, Jumadi
Ng, Chun Keat
Cyprian Anak Awos
author_sort Nur Anida, Jumadi
title Development of wearable IoT-Based front kicking angle monitoring device
title_short Development of wearable IoT-Based front kicking angle monitoring device
title_full Development of wearable IoT-Based front kicking angle monitoring device
title_fullStr Development of wearable IoT-Based front kicking angle monitoring device
title_full_unstemmed Development of wearable IoT-Based front kicking angle monitoring device
title_sort development of wearable iot-based front kicking angle monitoring device
publisher Kementerian Pendidikan Tinggi (KPT), Malaysia
publishDate 2020
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/64488
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score 13.222552