Assessing wireless inertia measurement units for monitoring athletics sprint performance

Philpott, Lydia; Weaver, Sam; Gordon, D.; Conway, Paul; West, Andrew A.

doi:10.1109/icsens.2014.6985476

Cited by 10 publications

(21 citation statements)

References 10 publications

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“…IMUs have been applied extensively and successfully for human motion capture applications, particularly in healthcare [ 23 , 40 , 42 , 44 , 45 ] and sports [ 46 , 47 , 48 , 49 , 50 , 51 ]. In equine research, inertial sensor systems are also quickly gaining popularity [ 34 , 52 , 53 ], particularly for objective lameness assessment [ 8 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 ].…”

Section: Related Workmentioning

confidence: 99%

EquiMoves: A Wireless Networked Inertial Measurement System for Objective Examination of Horse Gait

Bosch

Bragança

Marin-Perianu³

et al. 2018

Sensors

105

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In this paper, we describe and validate the EquiMoves system, which aims to support equine veterinarians in assessing lameness and gait performance in horses. The system works by capturing horse motion from up to eight synchronized wireless inertial measurement units. It can be used in various equine gait modes, and analyzes both upper-body and limb movements. The validation against an optical motion capture system is based on a Bland–Altman analysis that illustrates the agreement between the two systems. The sagittal kinematic results (protraction, retraction, and sagittal range of motion) show limits of agreement of ±2.3 degrees and an absolute bias of 0.3 degrees in the worst case. The coronal kinematic results (adduction, abduction, and coronal range of motion) show limits of agreement of −8.8 and 8.1 degrees, and an absolute bias of 0.4 degrees in the worst case. The worse coronal kinematic results are most likely caused by the optical system setup (depth perception difficulty and suboptimal marker placement). The upper-body symmetry results show no significant bias in the agreement between the two systems; in most cases, the agreement is within ±5 mm. On a trial-level basis, the limits of agreement for withers and sacrum are within ±2 mm, meaning that the system can properly quantify motion asymmetry. Overall, the bias for all symmetry-related results is less than 1 mm, which is important for reproducibility and further comparison to other systems.

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Section: Related Workmentioning

confidence: 99%

EquiMoves: A Wireless Networked Inertial Measurement System for Objective Examination of Horse Gait

Bosch

Bragança

Marin-Perianu³

et al. 2018

Sensors

105

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“…Previous research focused on the sprint acceleration start phase and the first portion of the drive phase [2,6,8]. Whilst force plates and IMUs have been used as tools for sprint diagnosis, a correlation between the data obtained by the measurement devices has yet to be found.…”

Section: Introductionmentioning

confidence: 99%

“…A single lower back mounted IMU was validated against retro-reflective motion capture (Vicon, Yarnton, Oxford, UK) and shown to reliably find angular displacement and velocity during sprinting [6]. Further to this, Philpott et al [2] used block mounted force plates and Vicon for sprinting starts finding the timing accurate to 0.025 ± 0.024 s, a number which may have been reduced if a higher sampling frequency (50 Hz) was used.…”

Section: Introductionmentioning

confidence: 99%

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Predicting Ground Reaction Forces in Sprint Running Using a Shank Mounted Inertial Measurement Unit

Thiel

Shepherd

Espinosa

et al. 2018

The 12th Conference of the International Sports Engineering Association

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Abstract:The transition from a stationary crouch on running-blocks to an erect running position is critical to success in sprint running. Three elite sprinters repeated five sprint starts on a 50 m-long instrumented running track each wearing three inertial measurement units (IMU) on both shanks. The IMU profiles and force plate data was highly consistent between runs. The increasing maximum ground force was correlated with the IMU data using a linear fit and gyroscope triggered acceleration component. Both techniques show promise (r 2 > 0.5). This is of significant interest to athletes and coaches using IMUs rather than a long, instrumented running track.

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“…The full-body motion capture technology has applications in various domains, including virtual reality [1], athletic training [2], biomedical engineering [3] and rehabilitation [4,5]. The demand for rehabilitation services and the resulting demand for systems capable of body movement monitoring continue to grow due to the increasing population of ageing people.…”

Section: Introductionmentioning

confidence: 99%

Inertial Motion Capture Costume Design Study

Szczęsna

Skurowski

Lach

et al. 2017

Sensors

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The paper describes a scalable, wearable multi-sensor system for motion capture based on inertial measurement units (IMUs). Such a unit is composed of accelerometer, gyroscope and magnetometer. The final quality of an obtained motion arises from all the individual parts of the described system. The proposed system is a sequence of the following stages: sensor data acquisition, sensor orientation estimation, system calibration, pose estimation and data visualisation. The construction of the system’s architecture with the dataflow programming paradigm makes it easy to add, remove and replace the data processing steps. The modular architecture of the system allows an effortless introduction of a new sensor orientation estimation algorithms. The original contribution of the paper is the design study of the individual components used in the motion capture system. The two key steps of the system design are explored in this paper: the evaluation of sensors and algorithms for the orientation estimation. The three chosen algorithms have been implemented and investigated as part of the experiment. Due to the fact that the selection of the sensor has a significant impact on the final result, the sensor evaluation process is also explained and tested. The experimental results confirmed that the choice of sensor and orientation estimation algorithm affect the quality of the final results.

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Assessing wireless inertia measurement units for monitoring athletics sprint performance

Cited by 10 publications

References 10 publications

EquiMoves: A Wireless Networked Inertial Measurement System for Objective Examination of Horse Gait

EquiMoves: A Wireless Networked Inertial Measurement System for Objective Examination of Horse Gait

Predicting Ground Reaction Forces in Sprint Running Using a Shank Mounted Inertial Measurement Unit

Inertial Motion Capture Costume Design Study

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