Publication:
Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras

Thumbnail Image
Files

Files

Electronic system for step width estimation using.pdf (3 MB)
View Statistics
Reference Managers
Mendeley
Indexers
Google Scholar CORE
QR Code
QR Code
Authors

Authors

Bolaños, Yamir H.
Rengifo, Carlos F
Caicedo, Pablo E
Rodriguez, Luis E.
Sierra, Wilson A.
Abstract (Spanish)
Este artículo propone un sistema electrónico portátil de bajo costo para estimar el ancho del paso durante el ciclo de la marcha humana. Este dispositivo, destinado a apoyar el ítem Walking Stance de la prueba de evaluación del riesgo de caídas Performance Oriented Mobility Assessment (POMA), contiene tres placas electrónicas, compuestas por dos nodos sensores y un concentrador. Cada nodo sensor contiene una resistencia sensible a la fuerza (FSR) y una cámara de tiempo de vuelo (TOF). Cada FSR se coloca dentro del zapato del sujeto, mientras que cada cámara TOF está ubicada en la parte posterior de su pie. El FSR detecta el contacto entre el talón y el suelo y el TOF mide la distancia hasta una barrera ubicada en el lado derecho del sendero para caminar. El ancho del paso se calcula como la diferencia entre las medidas TOF. Una vez finalizada la caminata, la información obtenida por los FSR y TOF se envía mediante una comunicación inalámbrica de 433 MHz a la placa concentradora, que está conectada al puerto USB de una computadora personal (PC). El sistema de medición del ancho de paso propuesto fue validado con una captura de movimiento basada en infrarrojos (Vicon Corp.), arrojando un error igual a 11,4% 5,5%.
Abstract (English)
This paper proposes a low-cost portable electronic system for estimating step width during the human gait cycle. This device, intended to support the Walking Stance item of the fall risk assessment test Performance Oriented Mobility Assessment (POMA), contains three electronic boards, comprising two sensing nodes and a concentrator. Each sensing node contains a force sensitive resistor (FSR) and time-of-flight camera (TOF). Each FSR is placed inside the subject’s shoe, while each TOF camera is located at the back of their foot. The FSR detects contact between heel and ground, and the TOF measures the distance to a barrier located on the right side of the walking path. Step width is calculated as the difference between the TOF measurements. After the walk is complete, the information obtained by the FSRs and TOFs is sent via a 433 MHz wireless communication to the concentrator board, which is connected to the USB port of a personal computer (PC). The proposed step width measurement system was validated with an infrared based motion capture (Vicon Corp.), giving an error equal to 11.4% 5.5%.
Extent
10 páginas
URI: https://repositorio.escuelaing.edu.co/handle/001/3303
Collections

Collections

AA. Gibiome
References

M.E. Tinetti, Performance-Oriented Assessment of Mobility Problems in Elderly Patients, J. Am. Geriatr. Soc. 34 (2) (1986) 119–126.

] E. Nordin, R. Moe-Nilssen, A. Ramnemark, L. Lundin-Olsson, Changes in step-width during dual-task walking predicts falls, Gait Posture 32 (1) (2010) 92–97

J. Silva, I. Sousa, Instrumented Timed Up and Go : Fall Risk Assessment based on Inertial Wearable Sensors, in: IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2016, pp. 1–6.

E.P. Doheny, C.W. Fan, T. Foran, B.R. Greene, C. Cunningham, R.A. Kenny, ‘‘An instrumented sit-to-stand test used to examine differences between older fallers and non-fallers”, in, in: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, pp. 3063–3066.

J.H. Hollman, E.M. McDade, R.C. Petersen, Normative spatiotemporal gait parameters in older adults, Gait Posture 34 (1) (2011) 111–118.

T. Bäcklund, F. Öhberg, G. Johansson, H. Grip, N. Sundström, Novel, clinically applicable, method to measure step-width during the swing phase of gait, Physiol. Meas. (2020).

V. Barone, F. Verdini, L. Burattini, F. Di Nardo, S. Fioretti, A markerless system based on smartphones and webcam for the measure of step length, width and duration on treadmill, Comput. Methods Programs Biomed. (2016).

J.B. Dingwell, J.P. Cusumano, P.R. Cavanagh, D. Sternad, Local dynamic stability versus kinematic variability of continuous overground and treadmill walking, J. Biomech. Eng. 123 (1) (2000) 27–32.

J.S. Brach, J.E. Berlin, J.M. VanSwearingen, A.B. Newman, S.A. Studenski, Too much or too little step width variability is associated with a fall history in older persons who walk at or near normal gait speed, J. NeuroEng. Rehabil. 2 (1) (2005) 21.

J.A. Perry, M. Srinivasan, Walking with wider steps changes foot placement control, increases kinematic variability and does not improve linear stability, R. Soc. Open Sci. 4 (28989728) (Sep. 2017) 160627.

A. Aggarwal, R. Gupta, R. Agarwal, Design and Development of Integrated Insole System for Gait Analysis, in: 2018 Eleventh International Conference on Contemporary Computing ({IC3}), 2018, pp. 1–5.

M. Hansard, S. Lee, C. Ouk, R.P. Horaud, Time of Flight Cameras: Principles, Methods, and Applications, Springer, 2013.

R.R. Jensen, R.R. Paulsen, L. Rasmus, ‘‘Analysis of Gait Using a Treadmill and a Time-of-Flight Camera”, in, Proceedings of the DAGM Workshop on Dynamic 3D Imaging, 2009.