The Engine for Automatic Biomechanical Evaluation (ENABLE™) software is used in a variety of research settings.
White Paper
Download the white paper “The Effect of Synthetic Training Date on the Performance of a Deep Learning Based Markerless Biomechanics System” to learn how we validate data in ENABLE.
Papers & Presentations
2023
Templin, T., Eliason, T., Saylor, K., Medjaouri, O., & Nicolella, D. (2023). Quantifying the Impact of Synthetic Data in Markerless Motion Capture. Computer Methods in Biomechanics and Biomedical Engineering. 3-5 May 2023, Paris. France.
Eliason T, Templin T, Medjaouri O, Chambers D, Nicolella D. “AI Based Automated Error Detection for Medical Training Using Markerless Biomechanics.” International Society of Biomechanics, Fukuoka, Japan (July 30- Aug 3) 2023
Templin, T., Oyama, S., Eliason, T., & Nicolella, D. (2023). Investigation of Pitching Mechanics to Reduce Injury Risk using Optimal Control. American Society of Biomechanics. Knoxville, Tennessee, August 2023.
Eliason T, Templin T, Medjaouri O, Chambers D, Saylor K, Nicolella D., “AI Based Automated Error Detection for Medical Training.”, Military Health System Research Symposium (August 14-17) 2023.
Templin, Tylan; Cabarkapa, Dimitrije; Miller, Jonathan; Cabarkapa, Damjana; Fry, Andrew; Eliason, Travis; Frazer, Lance; Medjaouri, Omar; Chambers, David; Saylor, Kase; and Nicolella, Daniel (2023) "Relationship Between Kinematic Characteristics and Free-Throw Shooting Precision: Markerless Motion Capture Analysis," ISBS Proceedings Archive: Vol. 41: Iss. 1, Article 105.
Cabarkapa D, Cabarkapa DV, Miller JD, Templin TT, Frazer LL, Nicolella DP, Fry AC. Biomechanical characteristics of proficient free-throw shooters-markerless motion capture analysis. Front Sports Act Living. 2023 Aug 2;5:1208915. doi: 10.3389/fspor.2023.1208915. PMID: 37601167; PMCID: PMC10436204.
Templin, T.N., Eliason, T.D., Medjaouri, O., Chambers, D., Saylor, K. and Nicolella, D.P., 2023. The Effect of Synthetic Training Data on the Performance of a Deep Learning Based Markerless Biomechanics System. bioRxiv, pp.2023-10.
2022
Templin, T., Eliason, T., Saylor, K., Chambers, D., & Nicolella, D. (2022). Quantitative Validation of a Deep Learning Based Markerless Motion Capture System. European Society of Biomechanics. 2022, Porto, Portugal.
Eliason, T., Templin, T., Louis, N., Saylor, K., Medjaouri, O, Chambers, D., & Nicolella, D. (2022). A Novel Method for Artificial Intelligence Based Ground Reaction Force Measurement from Video. European Society of Biomechanics. 2022, Porto, Portugal.
Templin, T., Eliason, T., Louis, N., Saylor, K., Medjaouri, O, Chambers, D., & Nicolella, D. (2022). A Novel Method for Artificial Intelligence Based Kinematic and Kinetic Measurement of Countermovement Jump from Video Data. World Congress of Biomechanics. 2022, Taipei, Taiwan.
Eliason T, Templin T, Louis N, Medjaouri O, Chambers D, Saylor K, Nicolella D. “A Novel Method for Artificial Intelligence Based Ground Reaction Force Measurement from Video.” Military Health System Research Symposium (September 12-15) 2022.
Eliason T, Templin T, Saylor K, Frazer L, Tchandja J, Isacks D, Hando B, Nicolella D. “Analysis of Human Performance Biomechanical Data Using Statistical Parametric Analysis Methods.” Military Health System Research Symposium (September 12-15) 2022.
Louis, N., Corso, J.J., Templin, T.N., Eliason, T.D. and Nicolella, D.P., October. Learning to Estimate External Forces of Human Motion in Video. In Proceedings of the 30th ACM International Conference on Multimedia (pp. 3540-3548), Porto, Portugal, (2022)
2020
Eliason T.D., Chambers D, Swenson B., Poole D., Saylor K., Nicolella, D.P., “Development of a Neural Network Based Markerless Motion Capture System.” Summer Biomechanics, Bioengineering, and Biotransport Conference, Virtual Format, June 17-20, 2020
2019
Eliason TD, Swenson B, Poole D, Chambers D, Saylor K, Nicolella D. “Development of a Neural Network Based Markerless Motion Capture System”. The 27th Congress of the International Society of Biomechnics, Calgary, Canada (July31-August 4th) 2019
2018
Eliason, T.D. (18), and D. Nicolella (18), “Development of a Deep Learning Based Markerless Motion Capture System”, Presented at World Congress of Biomechanics Conference, Dublin, Ireland. (July 8-12, 2018)
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