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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings - 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing, PRDC 2023
Publisher	IEEE Computer Society
Pages	327-331
Number of pages	5
ISBN (Electronic)	9798350358766
DOIs	https://doi.org/10.1109/PRDC59308.2023.00052
Publication status	Published - 2023
Externally published	Yes
Event	28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023 - Singapore, Singapore Duration: 24 Oct 2023 → 27 Oct 2023

Publication series

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

Conference

Conference	28th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2023
Country/Territory	Singapore
City	Singapore
Period	24/10/23 → 27/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Basketball
biomechanical assessment
collegiate athletes
computer vision
injury
jumps

Access to Document

10.1109/PRDC59308.2023.00052

Cite this

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).

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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.}",

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year = "2023",

doi = "10.1109/PRDC59308.2023.00052",

language = "English",

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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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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