Accelerometry for the motion analysis of the lateral plane of the human body during gait

Côrrea, Daniel; Balbinot, Alexandre

doi:10.1007/s12553-011-0004-1

Cited by 6 publications

(3 citation statements)

References 53 publications

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“…Mean, SD inter-blink interval ms < 1 sec Movements / Posture [201,403] Alternating Current component (motion) Hz < 1 sec through Accelerometer [124,190] Direct Current component (posture) …”

Section: µV < 1 Sec Through Electromyogram (Emg)mentioning

confidence: 99%

Affective signal processing (ASP) : unraveling the mystery of emotions

Broek¹

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Section: µV < 1 Sec Through Electromyogram (Emg)mentioning

confidence: 99%

Affective signal processing (ASP) : unraveling the mystery of emotions

Broek¹

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“…A gait measurement system based on accelerometers was developed by Correa and Balbinot [42]. It consists of a wireless system showing a virtual model of the human body and has a sampling rate of 50 Hz.…”

Section: Wearable Accelerometermentioning

confidence: 99%

Wearable Devices for Gait Measurement - A Case for Textile-Based Devices

Raji,

Wang,

Han

et al. 2023

Text Leather Rev

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Wearable devices for gait measurement are devices worn on the body to measure the gait of the wearers. During gait measurement, several parameters are measured and the choice of parameters is influenced by the application and by extension the gait index. Two approaches have been adopted in this research. One is the provision of an overview of wearable devices for gait measurement with a bias towards textile-based “soft” smart wearable systems using information from varied academic sources and databases. The second approach is to map out key scientific research trends within the wearable device classes using the Web of Science database. The focus is to make a case for textile-based gait measurement devices and systems while exploring the key determinants of wearable gait sensor placements and application efficiency. These soft smart wearable systems describe flexible material sensor-based systems which have their sensing mechanisms based on material deformation after being subjected to stress or pressure. This study could therefore serve as an apt reference for the development of soft smart wearable gait measurement systems as it throws light on the various soft wearable gait measurement applications, the bottlenecks in soft wearable device design, opportunities for developing new devices and the merit that soft gait analysis systems possess over their hard gait measurement counterparts.

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“…Correa and Balbinot [ 20 ] developed a measurement system based on accelerometers to analyze the human gait. It is a wireless system with a virtual model of the human body which has a sampling rate of 50Hz.…”

Section: Introductionmentioning

confidence: 99%

A portable system with sample rate of 250 Hz for characterization of knee and hip angles in the sagittal plane during gait

Martínez-Solis

Claudio-Sánchez

Rodríguez-Lelis

et al. 2014

BioMedical Engineering OnLine

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BackgroundGait analysis and research have been developed to obtain characteristics of movement patterns of people while walking. However, traditional measuring systems present different drawbacks that reduce their use and application. Among those drawbacks one can find: high price, low sampling frequency and limiting number of steps to be analyzed. Traditional measuring gait systems carry out their measurement at frequencies oscillating between 60 to 100 Hz. It can be argued about the need of higher sampling rates for gait measurements. However small displacements of the knee or hip for example, cannot be seen with low frequencies required a more detailed sampling and higher frequency sampling. Bearing this in mind, in this paper is presented a 250 Hz system based on accelerometers for gait measurement, and the particularities of knee and hip angles during gait are highlighted.MethodsThe system was designed with a PCI data acquisition card instrumented with an FPGA to achieve a rate sample of 250 Hz. The accelerometers were placed in thighs and legs to calculate the joint angles of hip and knee in the sagittal plane. The angles were estimated using the acceleration polygon method without integrating the acceleration and without filters.ResultsThe gait of thirty healthy people of Mexican phenotype was analyzed over a flat floor free of obstacles. The results showed the gait phases and particularities associated with the walking style and people's laterality; the movement patterns were similar in the thirty persons. Based on the results, the particularities as the maximum amplitude in the angles and the shape in the movement patterns were related to the anthropometry and people phenotype.ConclusionsThe sampling frequency was essential to record 340 samples in single gait cycle and so registering the gait cycle with its particularities. In this work were recorded an average of 8 to 10 gait cycles, and the results showed variation regarding works carried out in biomechanics laboratories; this variation was related to the method and reference frame used to obtain the joint angles and the accuracy of measurement system.

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Accelerometry for the motion analysis of the lateral plane of the human body during gait

Cited by 6 publications

References 53 publications

Affective signal processing (ASP) : unraveling the mystery of emotions

Affective signal processing (ASP) : unraveling the mystery of emotions

Wearable Devices for Gait Measurement - A Case for Textile-Based Devices

A portable system with sample rate of 250 Hz for characterization of knee and hip angles in the sagittal plane during gait

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