Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras
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...
- Autores:
-
Bolaños, Yamir H.
Rengifo, Carlos F
Caicedo, Pablo E
Rodriguez, Luis E.
Sierra, Wilson A.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Escuela Colombiana de Ingeniería Julio Garavito
- Repositorio:
- Repositorio Institucional ECI
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.escuelaing.edu.co:001/3303
- Acceso en línea:
- https://repositorio.escuelaing.edu.co/handle/001/3303
https://repositorio.escuelaing.edu.co/
- Palabra clave:
- Aparatos fisiológicos
Physiological apparatus
Tecnología médica
Medical technology
Locomoción humana
Human locomotion
Marcha humana
Sistema de programación en chip
Captura de movimiento
Cámara de tiempo de vuelo
Ancho de paso
Prueba POMA
Human gait
Programming system on chip
Motion capture
Time-of-flight camera
Step width
POMA test
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras |
| title |
Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras |
| spellingShingle |
Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras Aparatos fisiológicos Physiological apparatus Tecnología médica Medical technology Locomoción humana Human locomotion Marcha humana Sistema de programación en chip Captura de movimiento Cámara de tiempo de vuelo Ancho de paso Prueba POMA Human gait Programming system on chip Motion capture Time-of-flight camera Step width POMA test |
| title_short |
Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras |
| title_full |
Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras |
| title_fullStr |
Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras |
| title_full_unstemmed |
Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras |
| title_sort |
Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras |
| dc.creator.fl_str_mv |
Bolaños, Yamir H. Rengifo, Carlos F Caicedo, Pablo E Rodriguez, Luis E. Sierra, Wilson A. |
| dc.contributor.author.none.fl_str_mv |
Bolaños, Yamir H. Rengifo, Carlos F Caicedo, Pablo E Rodriguez, Luis E. Sierra, Wilson A. |
| dc.contributor.researchgroup.spa.fl_str_mv |
GiBiome |
| dc.subject.armarc.none.fl_str_mv |
Aparatos fisiológicos Physiological apparatus Tecnología médica Medical technology Locomoción humana Human locomotion |
| topic |
Aparatos fisiológicos Physiological apparatus Tecnología médica Medical technology Locomoción humana Human locomotion Marcha humana Sistema de programación en chip Captura de movimiento Cámara de tiempo de vuelo Ancho de paso Prueba POMA Human gait Programming system on chip Motion capture Time-of-flight camera Step width POMA test |
| dc.subject.proposal.spa.fl_str_mv |
Marcha humana Sistema de programación en chip Captura de movimiento Cámara de tiempo de vuelo Ancho de paso Prueba POMA |
| dc.subject.proposal.eng.fl_str_mv |
Human gait Programming system on chip Motion capture Time-of-flight camera Step width POMA test |
| description |
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%. |
| publishDate |
2020 |
| dc.date.issued.none.fl_str_mv |
2020-10 |
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2024-10-09T19:31:26Z |
| dc.date.available.none.fl_str_mv |
2024-10-09T19:31:26Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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2468-0672 |
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https://repositorio.escuelaing.edu.co/handle/001/3303 |
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2468-0672 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Escuela Colombiana de Ingeniería Julio Garavito |
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Repositorio Digital |
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https://repositorio.escuelaing.edu.co/ |
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2468-0672 Universidad Escuela Colombiana de Ingeniería Julio Garavito Repositorio Digital |
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| dc.language.iso.spa.fl_str_mv |
eng |
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eng |
| dc.relation.citationedition.spa.fl_str_mv |
Vol. 8 October 2020 |
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10 |
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1 |
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8 |
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HardwareX |
| dc.relation.references.spa.fl_str_mv |
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. |
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Bolaños, Yamir H.085d240cce8fbef015d60c4255cace79Rengifo, Carlos F0625ceb8dd646fb348c9767b323320a5Caicedo, Pablo E3a547d865aa57617cd4c9494e80f454eRodriguez, Luis E.46ecb878a49c578c4a393a69a2209eadSierra, Wilson A.bbe20cd692d68556cd6e3c93f5ea70a1GiBiome2024-10-09T19:31:26Z2024-10-09T19:31:26Z2020-102468-0672https://repositorio.escuelaing.edu.co/handle/001/33032468-0672Universidad Escuela Colombiana de Ingeniería Julio GaravitoRepositorio Digitalhttps://repositorio.escuelaing.edu.co/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%.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%.10 páginasapplication/pdfengElsevierS.L.https://www.sciencedirect.com/science/article/pii/S2468067220300353?via%3DihubElectronic system for step width estimation using programmable system-on-chip technology and time of flight camerasArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85Vol. 8 October 20201018HardwareXM.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) 92–97J. 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.info:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbAparatos fisiológicosPhysiological apparatusTecnología médicaMedical technologyLocomoción humanaHuman locomotionMarcha humanaSistema de programación en chipCaptura de movimientoCámara de tiempo de vueloAncho de pasoPrueba POMAHuman gaitProgramming system on chipMotion captureTime-of-flight cameraStep widthPOMA testTEXTElectronic system for step width estimation using.pdf.txtElectronic system for step width estimation using.pdf.txtExtracted texttext/plain20130https://repositorio.escuelaing.edu.co/bitstream/001/3303/4/Electronic%20system%20for%20step%20width%20estimation%20using.pdf.txt44d013ae7609e6359e18f411f9b695d0MD54metadata only accessTHUMBNAILPortada Electronic system for step width estimation using.PNGPortada Electronic system for step width estimation using.PNGimage/png108760https://repositorio.escuelaing.edu.co/bitstream/001/3303/3/Portada%20Electronic%20system%20for%20step%20width%20estimation%20using.PNGad04aa954110a7d70b601197c324c8d5MD53open accessElectronic system for step width estimation using.pdf.jpgElectronic system for step width estimation using.pdf.jpgGenerated Thumbnailimage/jpeg13139https://repositorio.escuelaing.edu.co/bitstream/001/3303/5/Electronic%20system%20for%20step%20width%20estimation%20using.pdf.jpg91bac5fd00a3a3d2fb08a4db9428a7caMD55metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81881https://repositorio.escuelaing.edu.co/bitstream/001/3303/2/license.txt5a7ca94c2e5326ee169f979d71d0f06eMD52open accessORIGINALElectronic system for step width estimation using.pdfElectronic system for step width estimation using.pdfapplication/pdf3143005https://repositorio.escuelaing.edu.co/bitstream/001/3303/1/Electronic%20system%20for%20step%20width%20estimation%20using.pdf4c2a56449ef158cd51cce2dcb08a2fb3MD51metadata only access001/3303oai:repositorio.escuelaing.edu.co:001/33032024-10-10 03:01:49.887metadata only accessRepositorio Escuela Colombiana de Ingeniería Julio Garavitorepositorio.eci@escuelaing.edu.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 |