Effects of accelerometer coupling on step counting accuracy in healthy older adults

Cleland, Ian; Nugent, Chris; Finlay, Dewar; Burns, William C. G.; Bougourd, Jennifer; Stevens, Katy; Armitage, Roger

doi:10.1007/s12553-012-0036-1

Cited by 3 publications

(1 citation statement)

References 38 publications

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“…While considering that MIMUs, as well as marker clusters mounted on a single rigid plate, substantially present only the STA rigid component, it is expected that the rigid component itself may suffer from artefacts due to soft tissues wobbling more than what has been observed in clusters of skin markers ( Bonci et al, 2014 ). Therefore, in the case of a MIMU-based application, STA detrimental effect is particularly related to the unit weight/size and its attachment method ( Forner-Cordero et al, 2008 ; Cleland et al, 2012 ) and to the unit possible repositioning ( Decker et al, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Stability of MIMU Probes to Skin-Marker-Based Anatomical Reference Frames During Locomotion Tasks: Effect of Different Locations on the Lower Limb

Scalera

Ferrarin

Marzegan

et al. 2021

Front. Bioeng. Biotechnol.

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Soft tissue artefacts (STAs) undermine the validity of skin-mounted approaches to measure skeletal kinematics. Magneto-inertial measurement units (MIMU) gained popularity due to their low cost and ease of use. Although the reliability of different protocols for marker-based joint kinematics estimation has been widely reported, there are still no indications on where to place MIMU to minimize STA. This study aims to find the most stable positions for MIMU placement, among four positions on the thigh, four on the shank, and three on the foot. Stability was investigated by measuring MIMU movements against an anatomical reference frame, defined according to a standard marker-based approach. To this aim, markers were attached both on the case of each MIMU (technical frame) and on bony landmarks (anatomical frame). For each MIMU, the nine angles between each versor of the technical frame with each versor of the corresponding anatomical frame were computed. The maximum standard deviation of these angles was assumed as the instability index of MIMU-body coupling. Six healthy subjects were asked to perform barefoot gait, step negotiation, and sit-to-stand. Results showed that (1) in the thigh, the frontal position was the most stable in all tasks, especially in gait; (2) in the shank, the proximal position is the least stable, (3) lateral or medial calcaneus and foot dorsum positions showed equivalent stability performances. Further studies should be done before generalizing these conclusions to different motor tasks and MIMU-body fixation methods. The above results are of interest for both MIMU-based gait analysis and rehabilitation approaches using wearable sensors-based biofeedback.

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Section: Introductionmentioning

confidence: 99%

Assessment of Stability of MIMU Probes to Skin-Marker-Based Anatomical Reference Frames During Locomotion Tasks: Effect of Different Locations on the Lower Limb

Scalera

Ferrarin

Marzegan

et al. 2021

Front. Bioeng. Biotechnol.

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Accelerometer Artefacts from Body-Worn Sensors

McDonough

Hinton-Lewis

Espinosa

et al. 2018

Proceedings of the 3rd International Colloquium on Sports Science, Exercise, Engineering and Technology

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Comparing Loose Clothing-Mounted Sensors with Body-Mounted Sensors in the Analysis of Walking

Jayasinghe

Hwang

Harwin

2022

Sensors

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A person’s walking pattern can reveal important information about their health. Mounting multiple sensors onto loose clothing potentially offers a comfortable way of collecting data about walking and other human movement. This research investigates how well the data from three sensors mounted on the lateral side of clothing (on a pair of trousers near the waist, upper thigh and lower shank) correlate with the data from sensors mounted on the frontal side of the body. Data collected from three participants (two male, one female) for two days were analysed. Gait cycles were extracted based on features in the lower-shank accelerometry and analysed in terms of sensor-to-vertical angles (SVA). The correlations in SVA between the clothing- and body-mounted sensor pairs were analysed. Correlation coefficients above 0.76 were found for the waist sensor pairs, while the thigh and lower-shank sensor pairs had correlations above 0.90. The cyclical nature of gait cycles was evident in the clothing data, and it was possible to distinguish the stance and swing phases of walking based on features in the clothing data. Furthermore, simultaneously recording data from the waist, thigh, and shank was helpful in capturing the movement of the whole leg.

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Effects of accelerometer coupling on step counting accuracy in healthy older adults

Cited by 3 publications

References 38 publications

Assessment of Stability of MIMU Probes to Skin-Marker-Based Anatomical Reference Frames During Locomotion Tasks: Effect of Different Locations on the Lower Limb

Assessment of Stability of MIMU Probes to Skin-Marker-Based Anatomical Reference Frames During Locomotion Tasks: Effect of Different Locations on the Lower Limb

Accelerometer Artefacts from Body-Worn Sensors

Comparing Loose Clothing-Mounted Sensors with Body-Mounted Sensors in the Analysis of Walking

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