Evaluating the Use of Inertial-Magnetic Sensors to Assess Fatigue in Boxing During Intensive Training

Shepherd, Jonathan B.; Thiel, David V.; Espinosa, Hugo G.

doi:10.1109/lsens.2017.2689919

Cited by 24 publications

(25 citation statements)

References 14 publications

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“…Within boxing, wearable sensors alongside motion capture technology are accepted instruments to measure spatiotemporal variables for quantitative description of punching performance, however, their combined use for such purposes has not been undertaken previously. Amongst the existing boxing literature, punch acceleration is well documented [ 9 , 10 ], and analysis confirms common knowledge that prolonged punching output (e.g., during training or competition) reduces punching speed. Punch impact forces have also been assessed, revealing elite boxers generate injurious impacts when applied to head-forms [ 11 ] and human opponents [ 1 , 12 , 13 ] alike.…”

Section: Introductionmentioning

confidence: 60%

“…Punch impact forces have also been assessed, revealing elite boxers generate injurious impacts when applied to head-forms [ 11 ] and human opponents [ 1 , 12 , 13 ] alike. For training purposes, inertial measurement units (IMU) embedded within boxing gloves have been used to automatically detect fatigue by analyzing punch kinematics [ 10 ]. Although this approach may aid fitness assessment or monitoring training progression, it does not reveal underlying mechanisms for the decline in punch velocity due to fatigue.…”

Section: Introductionmentioning

confidence: 99%

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Fusing Accelerometry with Videography to Monitor the Effect of Fatigue on Punching Performance in Elite Boxers

Haralabidis

Saxby

Pizzolato

et al. 2020

Sensors

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Wearable sensors and motion capture technology are accepted instruments to measure spatiotemporal variables during punching performance and to study the externally observable effects of fatigue. This study aimed to develop a computational framework enabling three-dimensional inverse dynamics analysis through the tracking of punching kinematics obtained from inertial measurement units and uniplanar videography. The framework was applied to six elite male boxers performing a boxing-specific punch fatigue protocol. OpenPose was used to label left side upper-limb landmarks from which sagittal plane kinematics were computed. Custom-made inertial measurement units were embedded into the boxing gloves, and three-dimensional punch accelerations were analyzed using statistical parametric mapping to evaluate the effects of both fatigue and laterality. Tracking simulations of a sub-set of left-handed punches were formulated as optimal control problems and converted to nonlinear programming problems for solution with a trapezoid collocation method. The laterality analysis revealed the dominant side fatigued more than the non-dominant, while tracking simulations revealed shoulder abduction and elevation moments increased across the fatigue protocol. In future, such advanced simulation and analysis could be performed in ecologically valid contexts, whereby multiple inertial measurement units and video cameras might be used to model a more complete set of dynamics.

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Section: Introductionmentioning

confidence: 60%

Section: Introductionmentioning

confidence: 99%

Fusing Accelerometry with Videography to Monitor the Effect of Fatigue on Punching Performance in Elite Boxers

Haralabidis

Saxby

Pizzolato

et al. 2020

Sensors

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“…Conversely, inertial (accelerometers or gyroscopes) sensors can be easy to use and provide real time feedback. Inertial sensors are an emerging technology‚ which have been used in boxing to measure shot velocities and quantify fatigue during training [27][28][29]. Human motion analysis studies are evolving from the use of single sensor units (i.e.…”

Section: Introductionmentioning

confidence: 99%

Accuracy and repeatability of wrist joint angles in boxing using an electromagnetic tracking system

2019

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The hand-wrist region is reported as the most common injury site in boxing. Boxers are at risk due to the amount of wrist motions when impacting training equipment or their opponents, yet we know relatively little about these motions. This paper describes a new method for quantifying wrist motion in boxing using an electromagnetic tracking system. Surrogate testing procedure utilising a polyamide hand and forearm shape, and in vivo testing procedure utilising 29 elite boxers, were used to assess the accuracy and repeatability of the system. 2D kinematic analysis was used to calculate wrist angles using photogrammetry, whilst the data from the electromagnetic tracking system was processed with visual 3D software. The electromagnetic tracking system agreed with the video-based system (paired t tests) in both the surrogate (< 0.2°) and quasistatic testing (< 6°). Both systems showed a good intraclass coefficient of reliability (ICCs > 0.9). In the punch testing, for both repeated jab and hook shots, the electromagnetic tracking system showed good reliability (ICCs > 0.8) and substantial reliability (ICCs > 0.6) for flexion-extension and radial-ulnar deviation angles, respectively. The results indicate that wrist kinematics during punching activities can be measured using an electromagnetic tracking system.

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“…For accurate and drift-free measurements, several fusion algorithms have been developed, for example the Kalman filter and the more recent Attitude and Heading Reference System (AHRS); several studies [ 13 , 14 , 15 , 16 , 17 , 18 ] have used these algorithms to combine sensory outputs and thereby obtain accurate kinematic parameters during human movement. Table 1 provides an overview of different wearable sensors using MEMS technology.…”

Section: Introductionmentioning

confidence: 99%

Preferred Placement and Usability of a Smart Textile System vs. Inertial Measurement Units for Activity Monitoring

Esfahani

Nussbaum

2018

Sensors

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Wearable sensors and systems have become increasingly popular in recent years. Two prominent wearable technologies for human activity monitoring are smart textile systems (STSs) and inertial measurement units (IMUs). Despite ongoing advances in both, the usability aspects of these devices require further investigation, especially to facilitate future use. In this study, 18 participants evaluate the preferred placement and usability of two STSs, along with a comparison to a commercial IMU system. These evaluations are completed after participants engaged in a range of activities (e.g., sitting, standing, walking, and running), during which they wear two representatives of smart textile systems: (1) a custom smart undershirt (SUS) and commercial smart socks; and (2) a commercial whole-body IMU system. We first analyze responses regarding the usability of the STS, and subsequently compared these results to those for the IMU system. Participants identify a short-sleeved shirt as their preferred activity monitor. In additional, the SUS in combination with the smart socks is rated superior to the IMU system in several aspects of usability. As reported herein, STSs show promise for future applications in human activity monitoring in terms of usability.

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Evaluating the Use of Inertial-Magnetic Sensors to Assess Fatigue in Boxing During Intensive Training

Cited by 24 publications

References 14 publications

Fusing Accelerometry with Videography to Monitor the Effect of Fatigue on Punching Performance in Elite Boxers

Fusing Accelerometry with Videography to Monitor the Effect of Fatigue on Punching Performance in Elite Boxers

Accuracy and repeatability of wrist joint angles in boxing using an electromagnetic tracking system

Preferred Placement and Usability of a Smart Textile System vs. Inertial Measurement Units for Activity Monitoring

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