Low-power, modular, wireless dynamic measurement of bicycle motion

Peterson, Dale L.; Moore, Jason K.; Fintelman, Danique; Hubbard, Mont

doi:10.1016/j.proeng.2010.04.093

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…760 signal was processed in order to show the frequency and amplitude of the frame at the position of the accelerometers. By analyzing multiple data collection systems [5] [6] [7] it is obvious that there is usually a custom setup for a given research. The human powered vehicle considered for this research will also have a custom setup, which will use three accelerometers, directly bolted to the frame with a M6 screw.…”

Section: Methodsmentioning

confidence: 99%

Vibration Properties of Frame for Human Powered Vehicles

Duse

Ari

2015

AMM

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Comfort is an important factor concerning automobiles, more so with bicycles. This remark has to be viewed with the operator’s strong connection to its own human powered vehicle, always in mind. Where an automobile might give the driver a lot of damping from the vibrations induced upon the vehicle, a bicycle has very few components between the operator and the vibration inducing elements. Therefore ample studies indicate the vibration damping effects of different shock absorbers, analyze the effect of certain types of vibrations on the human body and identify the type of vibrations that usually occur when riding a human powered vehicle. Many such studies concur that vibrations that protrude to operator through the vehicle, are very specific to a certain vehicle. In this case, when designing and developing a human powered vehicle, identifying the specific modal frequencies is imperative. Also identifying the types of frequencies induced by certain elements can help form an image about the vehicle, the vehicle properties and possibly the comfort of the operator.

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Section: Methodsmentioning

confidence: 99%

Vibration Properties of Frame for Human Powered Vehicles

Duse

Ari

2015

AMM

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“…Measurements of wheel spin rates (RPM), angular velocity (RPM) of the bicycle, steer angle, and the acceleration of three points on the frame were performed by Peterson et al [60]. They were more ambitious than others in using a lowpower-consumption Xbee-pro wireless module interfaced to a microcontroller based on the Arduino platform to transmit the measured parameters to a monitoring system, based on GUI toolkits.…”

Section: Advantagesmentioning

confidence: 99%

“…This narrative description of previous research is summarized in Table 2, which is arranged consecutively according to the type of wireless technology, with the addition of some other information, including hardware configuration and power efficiency. ANT [67] ZigBee [59] ANT [66] Bluetoooth [65] ZigBee [6] ZigBee [63] ZigBee [62] Xbee-Pro [60] Wireless standard technology considered in previous researches Current consumption (mA) Figure 3: The current consumption of wireless sensor technology as listed in Table 2.…”

Section: Advantagesmentioning

confidence: 99%

A Survey on Energy Efficient Wireless Sensor Networks for Bicycle Performance Monitoring Application

2014

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Wireless sensor networks (WSNs) have greatly advanced in the past few decades and are now widely used, especially for remote monitoring; the list of potential uses seems endless. Three types of wireless sensor technologies (Bluetooth, ZigBee, and ANT) have been used to monitor the biomechanical and physiological activities of bicycles and cyclists, respectively. However, the wireless monitoring of these activities has faced some challenges. The aim of this paper is to highlight various methodologies for monitoring cycling to provide an effective and efficient way to overcome the various challenges and limitations of sports cycling using wireless sensor interfaces. Several design criteria were reviewed and compared with different solutions for the implementation of current WSN research, such as low power consumption, long distance communications, small size, and light weight. Conclusions were drawn after observing the example of an advanced and adaptive network technology (ANT) network highlighting reduced power consumption and prolonged battery life. The power saving achieved in the slave node was 88–95% compared to the similar ANT protocol used in the medical rehabilitation.

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