Book chapter
Enhancing Soldier Readiness: Biomechanical Evaluation of the U.S. Army Combat Fitness Test Using Santos Digital Human Modeling
Advances in Digital Human Modeling II, pp.152-164
Lecture Notes in Networks and Systems, Springer Nature Switzerland
2025
DOI: 10.1007/978-3-032-00839-8_14
Abstract
SANTOS is a physics-based human digital twin platform developed to support human modeling and simulation (M&S) for applications in human systems integration, product development, and human performance. Central to the platform are two digital human models, Santos and Sophia, designed to simulate human physiology and motion with a high degree of fidelity. The system builds on over two decades of research and is intended to provide a computational alternative to physical testing for evaluating individual performance and designs, early in the cycle. SANTOS employs Human Predictive Dynamics (HPD), an optimization-based approach that predicts human motion without explicitly solving differential equations of motion. This methodology accounts for mass, inertia, joint velocities and accelerations, external forces, muscle strength, fatigue, and other physiological parameters, producing realistic movement trajectories under task-specific constraints. The musculoskeletal model incorporates 215 degrees of freedom and integrates biomechanics, physiological modeling, artificial intelligence components, and extensive empirical data derived from military and industrial sources. The platform’s utility is demonstrated through its application in assessing performance on the Army Combat Fitness Test (ACFT), among other military use cases. This paper presents the mathematical framework of the HPD approach and discusses its implications for enhancing Soldier readiness through predictive human performance modeling.
Details
- Title: Subtitle
- Enhancing Soldier Readiness: Biomechanical Evaluation of the U.S. Army Combat Fitness Test Using Santos Digital Human Modeling
- Creators
- Karim Abdel-MalekRajan BhattLaura Frey LawChris MurphyBahaa Mohammad
- Contributors
- Russell Marshall (Editor)Steve Summerskill (Editor)Gregor Harih (Editor)Sofia Scataglini (Editor)
- Resource Type
- Book chapter
- Publication Details
- Advances in Digital Human Modeling II, pp.152-164
- Series
- Lecture Notes in Networks and Systems
- DOI
- 10.1007/978-3-032-00839-8_14
- eISSN
- 2367-3389
- ISSN
- 2367-3370
- Publisher
- Springer Nature Switzerland; Cham
- Language
- English
- Date published
- 2025
- Academic Unit
- Iowa Technology Institute; Nursing; Physical Therapy and Rehabilitation Science; Mechanical Engineering
- Record Identifier
- 9984948008902771
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