Dependence of inertial measurements of distance on accelerometer noise

Thong, Y.K.; Woolfson, M.S.; Crowe, John A.; Hayes-Gill, Barrie; Challis, R.E.

doi:10.1088/0957-0233/13/8/301

Cited by 80 publications

(60 citation statements)

References 10 publications

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“…4). The SD grows approximately linearly with time, which is in accordance with the theory of the variance of an integrated random walk (THONG et al, 2002).…”

Section: Resultssupporting

confidence: 86%

Validation of an accelerometer for determination of muscle belly radial displacement

Žagar

Križaj

2005

Med. Biol. Eng. Comput.

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A commercial variable-capacitance micromachined accelerometer was validated for muscle belly radial displacement measurement. The displacement was calculated by the acceleration data being integrated twice and was compared with the results obtained simultaneously by an accurate mechanical displacement sensor based on an optical encoder. The aim of the investigation was to evaluate the accuracy and precision of an accelerometer for tensiomyography, which is a method for the detection of skeletal muscle contractile properties on the basis of muscle belly radial displacement. A hundred measurements at a bandwidth of 2300 Hz were performed. It was shown that the accuracy and precision in determination of the maximum displacement and the time of the maximum displacement from the calculated curve were satisfactory, in spite of the standard deviation of the twice-integrated acceleration growing approximately linearly with time. The results were accurate enough since the elapsed time from the beginning of the integration was small (less than 75 ms). The measured maximum displacement ranges were between 9.2 and 10.2 mm. The mean relative error was less than 1% (SD = 0.02mm) for the maximum displacement and about 1% (SD = 0.6 ms) for the time to maximum displacement. The accuracy of the half-relaxation time determination was more uncertain because of the relatively high relative error of -2.4% (SD = 3 ms). Results showed that a commercial micromachined accelerometer could be suitable for the measurement of muscle belly radial displacement and used for development of a future miniaturised and flexible system for the measurement of similar displacements.

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“…4). The SD grows approximately linearly with time, which is in accordance with the theory of the variance of an integrated random walk (THONG et al, 2002).…”

Section: Resultssupporting

confidence: 86%

Validation of an accelerometer for determination of muscle belly radial displacement

Žagar

Križaj

2005

Med. Biol. Eng. Comput.

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“…All experimentally collected waveforms of finite duration, which have been made discrete by an analogue to digital convertor, will contain aliased content to some degree. Thong et al [17] suggested that the errors in typical signal processing algorithms (e.g. integration, averaging) depend not only on the noise level, but also on the system sampling frequency and effects such as drift due to temperature fluctuations.…”

Section: Errors Associated With Wearable Devicesmentioning

confidence: 99%

Embedded programming and real-time signal processing of swimming strokes

et al. 2011

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The research outlined in this paper was conducted to allow real-time processing, transmission and presentation of data to swimming coaches and subsequently their swimmers in a training environment, focused on providing information relevant to strokes in free swimming. This was achieved using a wearable wireless sensor and embedded programming techniques, using accelerations involved in the swimming stroke to provide relevant features for coaches. Current methods used do not offer real-time response to coaches, which results in the lack of real-time feedback and significantly increased post-session analysis time. Filtering and signal processing algorithms are described here, which allow real-time data analysis to be embedded within a wireless sensor node. The system significantly reduces the time for processing acquired data and has delivered a novel monitoring device suitable for operation within the harsh environment of the pool.

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“…The principal application shortfall of inertia sensors is that the integration of the accelerometer's (or gyroscope's) drift and noise results in errors that would accumulate quickly [55]. A theoretical study of the errors caused by the noise in accelerometer is given in [93]. Recommendations are made regarding the calibration of accelerometers prior to their use.…”

Section: ) Accelerometermentioning

confidence: 99%

Design of a Wireless Assisted Pedestrian Dead Reckoning System—The NavMote Experience

Fang

Antsaklis

Montestruque³

et al. 2005

IEEE Trans. Instrum. Meas.

228

144

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Abstract-In this paper, we combine inertial sensing and sensor network technology to create a pedestrian dead reckoning system. The core of the system is a lightweight sensor-and-wireless-embedded device called NavMote that is carried by a pedestrian. The NavMote gathers information about pedestrian motion from an integrated magnetic compass and accelerometers. When the NavMote comes within range of a sensor network (composed of NetMotes), it downloads the compressed data to the network. The network relays the data via a RelayMote to an information center where the data are processed into an estimate of the pedestrian trajectory based on a dead reckoning algorithm. System details including the NavMote hardware/software, sensor network middleware services, and the dead reckoning algorithm are provided. In particular, simple but effective step detection and step length estimation methods are implemented in order to reduce computation, memory, and communication requirements on the Motes. Static and dynamic calibrations of the compass data are crucial to compensate the heading errors. The dead reckoning performance is further enhanced by wireless telemetry and map matching. Extensive testing results show that satisfactory tracking performance with relatively long operational time is achieved. The paper also serves as a brief survey on pedestrian navigation systems, sensors, and techniques.Index Terms-Dead reckoning, pedestrian navigation system, wireless sensor network.

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Dependence of inertial measurements of distance on accelerometer noise

Cited by 80 publications

References 10 publications

Validation of an accelerometer for determination of muscle belly radial displacement

Validation of an accelerometer for determination of muscle belly radial displacement

Embedded programming and real-time signal processing of swimming strokes

Design of a Wireless Assisted Pedestrian Dead Reckoning System—The NavMote Experience

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