A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Continuous Analysis of Running Mechanics by Means of an Integrated INS/GPS Device (2019)

Davidson, P., Virekunnas, H., Sharma, D., Piché, R., & Cronin, N. (2019). Continuous Analysis of Running Mechanics by Means of an Integrated INS/GPS Device. Sensors, 19(6), Article 1480. https://doi.org/10.3390/s19061480

JYU-tekijät tai -toimittajat

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Davidson, Pavel; Virekunnas, Heikki; Sharma, Dharmendra; Piché, Robert; Cronin, Neil

Lehti tai sarja: Sensors

ISSN: 1424-8220

eISSN: 1424-8220

Julkaisuvuosi: 2019

Volyymi: 19

Lehden numero: 6

Artikkelinumero: 1480

Kustantaja: MDPI AG

Julkaisumaa: Sveitsi

Julkaisun kieli: englanti

DOI: https://doi.org/10.3390/s19061480

Julkaisun avoin saatavuus: Avoimesti saatavilla

Julkaisukanavan avoin saatavuus: Kokonaan avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/63432


This paper describes a single body-mounted sensor that integrates accelerometers, gyroscopes, compasses, barometers, a GPS receiver, and a methodology to process the data for biomechanical studies. The sensor and its data processing system can accurately compute the speed, acceleration, angular velocity, and angular orientation at an output rate of 400 Hz and has the ability to collect large volumes of ecologically-valid data. The system also segments steps and computes metrics for each step. We analyzed the sensitivity of these metrics to changing the start time of the gait cycle. Along with traditional metrics, such as cadence, speed, step length, and vertical oscillation, this system estimates ground contact time and ground reaction forces using machine learning techniques. This equipment is less expensive and cumbersome than the currently used alternatives: Optical tracking systems, in-shoe pressure measurement systems, and force plates. Another advantage, compared to existing methods, is that natural movement is not impeded at the expense of measurement accuracy. The proposed technology could be applied to different sports and activities, including walking, running, motion disorder diagnosis, and geriatric studies. In this paper, we present the results of tests in which the system performed real-time estimation of some parameters of walking and running which are relevant to biomechanical research. Contact time and ground reaction forces computed by the neural network were found to be as accurate as those obtained by an in-shoe pressure measurement system.

YSO-asiasanat: biomekaniikka; juoksu; mittauslaitteet; satelliittipaikannus; koneoppiminen; neuroverkot

Vapaat asiasanat: gait analysis; INS/GPS; neural networks; sports equipment; velocity measurement

Liittyvät organisaatiot

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Hankkeet, joissa julkaisu on tehty

OKM-raportointi: Kyllä

Raportointivuosi: 2019

JUFO-taso: 1

Viimeisin päivitys 2021-09-06 klo 22:57