The accuracy and predictability of micro Doppler radar signature projection algorithm measuring functional movement in NCAA athletes

Onks, Cayce; Hall, Donald L.; Ridder, Tyler D.; Idriss, Zacharie; Andrie, Joseph; Narayanan, Ram M.

doi:10.1016/j.gaitpost.2021.01.021

Cited by 7 publications

(12 citation statements)

References 16 publications

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“…In this context, future research could involve the use of motion cameras, depth cameras, or wearable sensors to study movements or improve the technical capability of the player kicking the ball. Alternatively, other contactless methods could include using micro-Doppler signatures from radar sensors to distinguish between different sport functional movements [ 176 ] or using it as a screening tool for injury prevention to recognize possible abnormalities in simple walking mechanisms [ 177 , 178 ].…”

Section: Discussionmentioning

confidence: 99%

Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review

Nocera

Sbrollini

Romagnoli

et al. 2023

Sensors

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American football is the sport with the highest rates of concussion injuries. Biomedical engineering applications may support athletes in monitoring their injuries, evaluating the effectiveness of their equipment, and leading industrial research in this sport. This literature review aims to report on the applications of biomedical engineering research in American football, highlighting the main trends and gaps. The review followed the PRISMA guidelines and gathered a total of 1629 records from PubMed (n = 368), Web of Science (n = 665), and Scopus (n = 596). The records were analyzed, tabulated, and clustered in topics. In total, 112 studies were selected and divided by topic in the biomechanics of concussion (n = 55), biomechanics of footwear (n = 6), biomechanics of sport-related movements (n = 6), the aerodynamics of football and catch (n = 3), injury prediction (n = 8), heat monitoring of physiological parameters (n = 8), and monitoring of the training load (n = 25). The safety of players has fueled most of the research that has led to innovations in helmet and footwear design, as well as improvements in the understanding and prevention of injuries and heat monitoring. The other important motivator for research is the improvement of performance, which has led to the monitoring of training loads and catches, and studies on the aerodynamics of football. The main gaps found in the literature were regarding the monitoring of internal loads and the innovation of shoulder pads.

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Section: Discussionmentioning

confidence: 99%

Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review

Nocera

Sbrollini

Romagnoli

et al. 2023

Sensors

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“…To effectively prevent chronic pain and disability, Onks et al used micro-Doppler signals generated by micro-Doppler radar to identify movement differences in military environments. Experimental results showed that compared with human eyes, micro-Doppler signals could effectively identify more subtle movement patterns [13].…”

Section: Introductionmentioning

confidence: 99%

Motion Capture Algorithm for Students' Physical Activity Recognition in Physical Education Curriculum

Lu,

Long

2023

JAIT

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Physical training learning is one of the important ways to raise the national physical quality and health level. However, there are many problems in traditional physical education, such as the difficulty to identifying the effectiveness of physical education curriculum and low level of repetitive exercise content. In order to solve this problem and improve the curriculum quality of current middle school physical education courses, a motion capture algorithm based on convolutional neural network and long-term memory network is proposed, and a student physical activity capture model is constructed based on the fusion algorithm. In the performance comparison test of the fusion algorithm proposed in this study, the loss value and accuracy of this fusion algorithm are 0.045 and 0.921, respectively, significantly superior to the comparison algorithm. Then in the empirical analysis, the accuracy rate of this motion capture algorithm model proposed in this study for students' walking posture recognition in physical education courses is 91.5%, which is better than the comparative capture method. This motion capture algorithm can accurately capture the physical activities of students in physical education courses, which has practical application significance.

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“…An alternative approach to human motion analysis is the use of micro-Doppler radar (MDR), which is small, inexpensive, easily portable, and has been proven to distinguish subtle differences in movement patterns not detectable by the human eye [ 11 , 12 ]. MDR has the ability to detect and evaluate movement at a scale that has never been visually distinguishable to date.…”

Section: Introductionmentioning

confidence: 99%

“…MDR has the ability to detect and evaluate movement at a scale that has never been visually distinguishable to date. In a previous study, MDR predicted when athletes had a 2 cm heel lift in their shoes 100% of the time, reflecting great accuracy in detecting subtle changes in movement patterns [ 12 ]. The radar’s accuracy in detecting micro-movements is the premise for using it to screen Service Members or athletes for the risk of MSKI.…”

Section: Introductionmentioning

confidence: 99%

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Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison

Abou Al Ardat,

Nyland,

Creath

et al. 2023

PLoS ONE

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Background Beyond causing significant morbidity and cost, musculoskeletal injuries (MSKI) are among the most common reasons for primary care visits. A validated injury risk assessment tool for MSKI is conspicuously absent from current care. While motion capture (MC) systems are the current gold standard for assessing human motion, their disadvantages include large size, non-portability, high cost, and limited spatial resolution. As an alternative we introduce the Micro Doppler Radar (MDR); in contrast with MC, it is small, portable, inexpensive, and has superior spatial resolution capabilities. While Phase 1 testing has confirmed that MDR can identify individuals at high risk for MSKI, Phase 2 testing is still needed. Our aims are to 1) Use MDR technology and MC to identify individuals at high-risk for MSKI 2) Evaluate whether MDR has diagnostic accuracy superior to MC 3) Develop MDR algorithms that enhance accuracy and enable automation. Methods and findings A case control study will compare the movement patterns of 125 ACL reconstruction patients to 125 healthy controls. This study was reviewed and approved by the Pennsylvania State University Human Research Protection Program (HRPP) on May 18, 2022, and the IRB approval number is STUDY00020118. The ACL group is used as a model for a “high risk” population as up to 24% will have a repeat surgery within 2 years. An 8-camera Motion Analysis MC system with Cortex 8 software to collect MC data. Components for the radar technology will be purchased, assembled, and packaged. A micro-doppler signature projection algorithm will determine correct classification of ACL versus healthy control. Our previously tested algorithm for processing the MDR data will be used to identify the two groups. Discrimination, sensitivity and specificity will be calculated to compare the accuracy of MDR to MC in identifying the two groups. Conclusions We describe the rationale and methodology of a case-control study using novel MDR technology to detect individuals at high-risk for MSKI. We expect this novel approach to exhibit superior accuracy than the current gold standard. Future translational studies will determine utility in the context of clinical primary care.

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The accuracy and predictability of micro Doppler radar signature projection algorithm measuring functional movement in NCAA athletes

Cited by 7 publications

References 16 publications

Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review

Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review

Motion Capture Algorithm for Students' Physical Activity Recognition in Physical Education Curriculum

Micro-doppler radar to evaluate risk for musculoskeletal injury: Protocol for a case-control study with gold standard comparison

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