A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment

Srishti Sharma; Srikrishnan Divakaran; Tolga Kaya; Christopher Taber; Mehul S. Raval

doi:10.1109/PRDC59308.2023.00052

A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment

Srishti Sharma^*, Srikrishnan Divakaran, Tolga Kaya, Christopher Taber, Mehul S. Raval

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Özet

Competitive sports require rapid and intense movements, such as jump landings, making athletes susceptible to injuries due to altered neuromuscular control and joint mechanics. Biomechanical features during landings are associated with injury risk, emphasizing proper movement and postural stability. Computer vision techniques offer a time-efficient, noninvasive, and unbiased method to assess jump-landings and identify injury risks. This study proposes a video analysis framework to evaluate jump landing biomechanics in athletes to determine irregular movements and incorrect postures. It provides advice and recommendations to coaches for injury prediction and training improvements. The proposed framework is tested using countermovement jump videos of 17 NCAA Division I female basketball athletes. The results indicated a low Mean Absolute Error (0.97), high correlation (0.89), high average accuracy (98.31%) and F1 score (0.98), signifying the framework's reliability in identifying injury risk.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023
Yayınlayan	IEEE Computer Society
Sayfalar	327-331
Sayfa sayısı	5
ISBN (Elektronik)	9798350358766
DOI'lar	https://doi.org/10.1109/PRDC59308.2023.00052
Yayın durumu	Yayınlandı - 2023
Harici olarak yayınlandı	Evet
Etkinlik	28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023 - Singapore, Singapore Süre: 24 Eki 2023 → 27 Eki 2023

Yayın serisi

Adı	Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
ISSN (Basılı)	1541-0110

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023
Ülke/Bölge	Singapore
Şehir	Singapore
Periyot	24/10/23 → 27/10/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Belgeye Erişim

10.1109/PRDC59308.2023.00052

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Sharma, S., Divakaran, S., Kaya, T., Taber, C., & Raval, M. S. (2023). A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment. In Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023 (pp. 327-331). (Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC). IEEE Computer Society. https://doi.org/10.1109/PRDC59308.2023.00052

Sharma, Srishti ; Divakaran, Srikrishnan ; Kaya, Tolga et al. / A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment. Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023. IEEE Computer Society, 2023. pp. 327-331 (Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC).

@inproceedings{93fe66a0e4fb4dd797e63b18ec06a6d9,

title = "A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment",

abstract = "Competitive sports require rapid and intense movements, such as jump landings, making athletes susceptible to injuries due to altered neuromuscular control and joint mechanics. Biomechanical features during landings are associated with injury risk, emphasizing proper movement and postural stability. Computer vision techniques offer a time-efficient, noninvasive, and unbiased method to assess jump-landings and identify injury risks. This study proposes a video analysis framework to evaluate jump landing biomechanics in athletes to determine irregular movements and incorrect postures. It provides advice and recommendations to coaches for injury prediction and training improvements. The proposed framework is tested using countermovement jump videos of 17 NCAA Division I female basketball athletes. The results indicated a low Mean Absolute Error (0.97), high correlation (0.89), high average accuracy (98.31%) and F1 score (0.98), signifying the framework's reliability in identifying injury risk.",

keywords = "Basketball, biomechanical assessment, collegiate athletes, computer vision, injury, jumps",

author = "Srishti Sharma and Srikrishnan Divakaran and Tolga Kaya and Christopher Taber and Raval, {Mehul S.}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023 ; Conference date: 24-10-2023 Through 27-10-2023",

year = "2023",

doi = "10.1109/PRDC59308.2023.00052",

language = "English",

series = "Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC",

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Sharma, S, Divakaran, S, Kaya, T, Taber, C & Raval, MS 2023, A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment. in Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023. Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC, IEEE Computer Society, pp. 327-331, 28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023, Singapore, Singapore, 24/10/23. https://doi.org/10.1109/PRDC59308.2023.00052

A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment. / Sharma, Srishti; Divakaran, Srikrishnan; Kaya, Tolga et al.
Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023. IEEE Computer Society, 2023. p. 327-331 (Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment

AU - Sharma, Srishti

AU - Divakaran, Srikrishnan

AU - Kaya, Tolga

AU - Taber, Christopher

AU - Raval, Mehul S.

PY - 2023

Y1 - 2023

N2 - Competitive sports require rapid and intense movements, such as jump landings, making athletes susceptible to injuries due to altered neuromuscular control and joint mechanics. Biomechanical features during landings are associated with injury risk, emphasizing proper movement and postural stability. Computer vision techniques offer a time-efficient, noninvasive, and unbiased method to assess jump-landings and identify injury risks. This study proposes a video analysis framework to evaluate jump landing biomechanics in athletes to determine irregular movements and incorrect postures. It provides advice and recommendations to coaches for injury prediction and training improvements. The proposed framework is tested using countermovement jump videos of 17 NCAA Division I female basketball athletes. The results indicated a low Mean Absolute Error (0.97), high correlation (0.89), high average accuracy (98.31%) and F1 score (0.98), signifying the framework's reliability in identifying injury risk.

AB - Competitive sports require rapid and intense movements, such as jump landings, making athletes susceptible to injuries due to altered neuromuscular control and joint mechanics. Biomechanical features during landings are associated with injury risk, emphasizing proper movement and postural stability. Computer vision techniques offer a time-efficient, noninvasive, and unbiased method to assess jump-landings and identify injury risks. This study proposes a video analysis framework to evaluate jump landing biomechanics in athletes to determine irregular movements and incorrect postures. It provides advice and recommendations to coaches for injury prediction and training improvements. The proposed framework is tested using countermovement jump videos of 17 NCAA Division I female basketball athletes. The results indicated a low Mean Absolute Error (0.97), high correlation (0.89), high average accuracy (98.31%) and F1 score (0.98), signifying the framework's reliability in identifying injury risk.

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Sharma S, Divakaran S, Kaya T, Taber C, Raval MS. A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment. In Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023. IEEE Computer Society. 2023. p. 327-331. (Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC). doi: 10.1109/PRDC59308.2023.00052

A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment

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