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  • 标题:DEVELOPMENT AND VALIDATION OF A TRACK BICYCLE INSTRUMENT FOR TORQUE MEASUREMENT USING THE ZIGBEE WIRELESS SENSOR NETWORK
  • 本地全文:下载
  • 作者:Sadik Kamel Gharghan ; Rosdiadee Nordina ; Mahamod Ismail
  • 期刊名称:International Journal on Smart Sensing and Intelligent Systems
  • 印刷版ISSN:1178-5608
  • 出版年度:2017
  • 卷号:10
  • 期号:1
  • 页码:124-145
  • 出版社:Massey University
  • 摘要:This study evaluates the consistency between the bicycle torque of the proposed system, and a Schoberer Rad Messtechnik (SRM) system. The torque was measured while a trainer was cycling indoors, and the measured values were compared with those of the SRM system. A Bland-Altman statistical analysis indicated that the measured values agreed with the SRM within 95%. The mean absolute percentage error and root mean square error between the measurements of the proposed system and the SRM system were 8.25%, and 1.86, respectively. The results show that the bicycle torque can be measured accurately and transmitted using ZigBee wireless protocol.
  • 关键词:measurement accuracy; sensor; statistical analysis; strain gauge; torque; track cycling; wireless ; sensor network; ZigBee. ; ; var currentpos;timer; function initialize() { timer=setInterval("scrollwindow()";10);} function sc(){clearInterval(timer); }function scrollwindow() { currentpos=document.body.scrollTop; window.scroll(0;++currentpos); if (currentpos != document.body.scrollTop) sc();} document.onmousedown=scdocument.ondblclick=initialize Sadik Kamel Gharghan; Rosdiadee Nordina and Mahamod Ismail; DEVELOPMENT AND VALIDATION OF A TRACK BICYCLE ; INSTRUMENT FOR TORQUE MEASUREMENT USING THE ZIGBEE WIRELESS SENSOR NETWORK ; 125 ; ; I. ; ; INTRODUCTION ; ; Track cycling is a sport that has received considerable attention in recent years. The physiological ; and biomechanical parameters of the bicycle and cyclist; such as pulse rate; speed; cadence; and ; torque; can be monitored by sensors. These parameters can be transmitted wirelessly in real time ; to the cyclist or to the coach to provide information about the performance of the bicycle and the ; cyclist. In track cycling; measuring power while cycling is a crucial factor in assessing the ; performance of the athletes. Many cyclists and coaches are interested in the mechanical power of ; the bicycle that is generated during cycling [1]. The cyclists always plan to produce the ; maximum power output for long durations; where the power delivered to the crank arms is ; converted to bicycle motion [2]. The cyclist's power can be measured using a device known as a ; power meter; which often relies on the pedal torque or crank arm torque measurements. Due to ; recent technological developments; bicycle power meters are becoming part of the training ; equipment of professional cyclists and are used by cyclists to improve their training [3]. The ; cyclist's power mainly depends on the torque. The torque that is generated by a cyclist during the ; crank arm rotation is considered to be the most critical performance index for competitive ; cyclists because the cyclist's power output can provide precise and accurate measurements of the ; cyclist's performance and fitness. Neither speed nor heart rate can be used to improve the ; cyclist's performance because the speed depends on the road grade; wind velocity; terrain; and ; the athlete's physical characteristics; such as muscle and heart rate; which are controlled by the ; athlete's current health; diet; and fatigue [4]. The crank torque can be determined by the product ; of the perpendicular force (Fe) that is applied to the crank arm and the length of the crank arm: ; Torque (N.m) = Fe x crank arm length [5]. Consequently; the bicycle's power output (W) can be ; calculated based on the torque measurements; i.e.; power output; W = Torque (N.m) × pedal ; angular velocity (rad.s-1) [6]. The bicycle's crank arm torque can be monitored wirelessly using a ; wireless sensor node as a part of the bicycle's wireless sensor network (WSN). ; The sensor node architecture is based on four strain gauge sensors and an instrumentation ; amplifier; magnetic sensor; Arduino Nano microcontroller; and XBee series 2. The system ; depends on torque measurements taken on the right crank arm using the four strain gauges. The ; strain gauges form a Wheatstone bridge that is glued to the right crank arm. The measured data of ; the applied torque on the right crank arm are transmitted wirelessly to the coach based on XBee
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