# Collaborative Research: Developing kinetic 3D computational models of bipedal walking

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · Midwestern University (AZ) · $138,805

## Abstract

Human bipedal walking underlies numerous aspects of our ecology and behavior. Knowledge of foot anatomy and function is essential because the foot interfaces directly with the ground during walking or running, and it is important to understand how variation in foot anatomy may impact biomechanics. This research advances current understandings of hominin bipedalism by integrating anatomic and kinematic data and developing AI-driven 3D computational foot models for apes and humans. The study provides funding and training for students and includes outreach activities directed to the public. Results from this study aid in the development of new translational methods for investigating anatomical variation associated with foot pathology (e.g., flat feet) and inform about the effects of footwear on foot muscle use and soft tissue disorders (e.g., plantar fasciitis).  

This study applies an integrative experimental modeling-simulation approach. The study conducts direct comparisons regarding the intrinsic foot biomechanics of human and ape, informing and comparing their musculoskeletal design. The study: (1) conducts loading experiments on human and ape feet; (2) builds musculoskeletal models of human and ape feet; (3) integrates experimental data with these models to calculate intrinsic foot dynamics, and; (4) performs dynamic simulations to link intrinsic foot musculoskeletal structure to walking kinematics, kinetics, muscle activation, and metabolic cost. Advanced AI-supported 

## Key facts

- **NSF award ID:** 2521664
- **Awardee organization:** Midwestern University (AZ)
- **SAM.gov UEI:** LKMNHBWLC5C8
- **PI:** Matthew O'Neill
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Artificial Intelligence (AI), Biological Anthropology, Translational Research, POSTDOCTORAL FELLOWSHIPS, Biotechnology
- **Estimated total:** $138,805
- **Funds obligated:** $138,805
- **Transaction type:** Standard Grant
- **Period:** 08/15/2025 → 07/31/2028

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2521664

## Citation

> US National Science Foundation, Award 2521664, Collaborative Research: Developing kinetic 3D computational models of bipedal walking. Retrieved via AI Analytics 2026-06-07 from https://api.ai-analytics.org/grant/nsf/2521664. Licensed CC0.

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