Location Estimation Indoors by Means of Small Computing Power Devices, Accelerometers, Magnetic Sensors, and Map Knowledge

Vildjiounaite, Elena; Malm, Esko-Juhani; Kaartinen, Jouni; Alahuhta, Petteri

doi:10.1007/3-540-45866-2_17

Cited by 29 publications

(22 citation statements)

References 9 publications

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“…Vildjiounaite et al [12] developed a real-time system, using accelerometers and magnetic sensors. The magnetic sensor data were used to determine foot orientation and identify steps; the averaged peak forward acceleration was used with a lookup table to estimate the step length.…”

Section: Introductionmentioning

confidence: 99%

Gait Analysis Using a Shoe-Integrated Wireless Sensor System

Bamberg

Benbasat

Scarborough

et al. 2008

IEEE Trans. Inform. Technol. Biomed.

632

330

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Abstract-We describe a wireless wearable system that was developed to provide quantitative gait analysis outside the confines of the traditional motion laboratory. The sensor suite includes three orthogonal accelerometers, three orthogonal gyroscopes, four force sensors, two bidirectional bend sensors, two dynamic pressure sensors, as well as electric field height sensors. The "GaitShoe" was built to be worn in any shoe, without interfering with gait and was designed to collect data unobtrusively, in any environment, and over long periods. The calibrated sensor outputs were analyzed and validated with results obtained simultaneously from the Massachusetts General Hospital, Biomotion Laboratory. The GaitShoe proved highly capable of detecting heel-strike and toe-off, as well as estimating foot orientation and position, inter alia.Index Terms-Biomedical measurements, body sensor networks, legged locomotion, multisensor systems, telemetry.

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Section: Introductionmentioning

confidence: 99%

Gait Analysis Using a Shoe-Integrated Wireless Sensor System

Bamberg

Benbasat

Scarborough

et al. 2008

IEEE Trans. Inform. Technol. Biomed.

632

330

View full text Add to dashboard Cite

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“…Several systems and applications have been recently proposed, such as wireless shoes equipped with instrumented insole designed for real-time multimedia interaction [26], system in the healthcare domain able to estimate stride length, walking speed, and foot inclination, in the sagittal plane during walking by means of a biaxial accelerometer and a rate gyroscope embedded in a unit on the shoe [27]. Other studies presented system able to detect gait phases with application in motor rehabilitation and evaluation, based on inertial and magnetic sensors [28] [29].…”

Section: Introductionmentioning

confidence: 99%

A wireless system for gait and posture analysis based on pressure insoles and Inertial Measurement Units

Benocci¹,

Rocchi²,

Farella³

et al. 2009

Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare

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In this paper we describe a wireless wearable system to monitor gait, based on a customized pair of commercial insoles able to collect ground reaction forces by use of 24 embedded cells for each foot. Each insole was combined with a small form factor, low-power Inertial Measurement Unit (IMU) and enabled to communicate via Bluetooth with a base station. We present here the characterization of the system both in terms of performance and in terms of functionality. The system was tested on a subject to demonstrate the usability and the features extraction during gait; this data allow to recognize walking phase in terms of swing and stance phase, step and stride duration, double support and single support duration, both using the pressure sensors and the IMU.

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“…Hardware clocks, for example, are dead-reckoning devices for estimating the current time. Accelerometers may be used to measure movements and can hence provide estimates of the current position in space (see, e.g., [25]). However, dead-reckoning devices typically suffer from significant errors that accumulate over time and can therefore only be used to bridge the short gap between two consecutive runs of a localization algorithm.…”

Section: Maintaining Localization Over Timementioning

confidence: 99%

Towards a unified view on space and time in sensor networks

Römer

Mattern

2005

Computer Communications

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In wireless sensor networks, many applications rely on the ability of sensor nodes to estimate their physical location and time with respect to a common reference scale. This necessity is reflected by the development of a significant number of algorithms for localization and time synchronization for sensor networks in the recent past. However, research on location estimation on the one hand and on time synchronization on the other hand has been largely separated. Despite this, models, requirements, techniques, and algorithms of the two domains are rather similar and in some respects closely related. The purpose of this paper is to make this affinity explicit, with the hope of stimulating a mutual fertilization and enabling a better understanding of both domains.

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Location Estimation Indoors by Means of Small Computing Power Devices, Accelerometers, Magnetic Sensors, and Map Knowledge

Cited by 29 publications

References 9 publications

Gait Analysis Using a Shoe-Integrated Wireless Sensor System

Gait Analysis Using a Shoe-Integrated Wireless Sensor System

A wireless system for gait and posture analysis based on pressure insoles and Inertial Measurement Units

Towards a unified view on space and time in sensor networks

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