Long-term unrestrained measurement of stride length and walking velocity utilizing a piezoelectric gyroscope

Miyazaki, Satoru

doi:10.1109/10.605434

Cited by 167 publications

(98 citation statements)

References 6 publications

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“…Miyazaki integrated a 0.5-Hz highpass filtered piezoelectric rate gyroscope to the leg and determined hip flexion extension angle and step length by using a simple step model [63]. However, this method considers thigh and shank as a unique segment and the error reaches 15% with subject-dependent calibration.…”

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.

229

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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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.

229

144

View full text Add to dashboard Cite

show abstract

“…Mechanical movement counters (Davies, Jordan, & Lipkin, 1992;Saris & Binkhorst, 1977), EMG (Anastasiades & Johnston, 1990;Tuomisto, Johnston, & Schmidt, 1996), hydrostatic tubes (Tuomisto et al, 1996), gyroscopes (Miyazaki, 1997), and accelerometers (Stock, Clague, & Johnston, 1991;Tuomisto et al, 1996) have been used for this purpose. Generally, comparison of the AM with these monitoring systems is difficult.…”

Section: Comparison With Other Activity Monitorsmentioning

confidence: 99%

Measuring daily behavior using ambulatory accelerometry: The Activity Monitor

Bussmann

Martens²,

Tulen

et al. 2001

Behavior Research Methods, Instruments, & Computers

269

242

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“…For step length estimation, two kinds of approaches can be considered. One approach is based on an empirical model linking the step length with some parameters extracted from the sensors measurement during the step [28,29]. The advantage of this approach is that the models can be adapted to any placement of the IMU.…”

Section: Inertial Navigation Systems Inss Based On Integratedmentioning

confidence: 99%

Pedestrian Tracking Solution Combining an Impulse Radio Handset Transmitter with an Ankle-Mounted Inertial Measurement Unit

Youssef

Denis

Godin

et al. 2012

International Journal of Navigation and Observation

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We address the indoor tracking problem by combining an Impulse Radio-Ultra-Wideband handset with an ankle-mounted Inertial Measurement Unit embedding an accelerometer and a gyroscope. The latter unit makes possible the detection of the stance phases to overcome velocity drifts. Regarding radiolocation, a time-of-arrival estimator adapted to energy-based receivers is applied to mitigate the effects of dense multipath profiles. A novel quality factor associated with this estimator is also provided as a function of the received signal-to-noise ratio, enabling us to identify outliers corresponding to obstructed radio links and to scale the covariance matrix of radiolocation measurements. Finally, both radio and inertial subsystems are loosely-coupled into one single navigation solution relying on a specific extended Kalman filter. In the proposed fusion strategy, processed inertial data control the filter state prediction whereas Combined Time Differences Of Arrival are formed as input observations. These combinations offer low computational complexity as well as a unique filter structure over time, even after removing outliers. Experimental results obtained in a representatively harsh indoor environment emphasize the complementarity of the two technologies and the relevance of the chosen fusion method while operating with low-cost, noncollocated, asynchronous, and heterogeneous sensors.

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Long-term unrestrained measurement of stride length and walking velocity utilizing a piezoelectric gyroscope

Cited by 167 publications

References 6 publications

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

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

Measuring daily behavior using ambulatory accelerometry: The Activity Monitor

Pedestrian Tracking Solution Combining an Impulse Radio Handset Transmitter with an Ankle-Mounted Inertial Measurement Unit

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