Hipponylab

Computational Biomechanics & Movement Science Laboratory

Ningbo University · Research Academy of Grand Health · Ningbo, China

About the Lab

Bridging computational modelling, movement science, and clinical rehabilitation.

The Hipponylab is a research group dedicated to advancing our understanding of human movement through computational methods, artificial intelligence, and experimental measurement. We develop novel tools for quantifying musculoskeletal function, predicting rehabilitation outcomes, and translating biomechanical knowledge into clinical practice.

Our laboratory is led by Dr. Ye Ma, Associate Professor in the Research Academy of Grand Health at Ningbo University. The group brings together students and collaborators from biomechanical engineering, rehabilitation science, sports medicine, and computer science.

Deep Learning Musculoskeletal Modeling 3D Movement Analysis Rehabilitation

Contact: maye@nbu.edu.cn

Latest News

Recent publications, awards, and lab updates.

Research Funding

Grants and projects that support our research programme.

NSFC

Research on a large model for inter-subject lower limb functional motion intention recognition driven by surface electromyography — National Natural Science Foundation of China

Grant No. 12572368 2026 – 2029 Principal Investigator Ongoing

One-sentence description of the funded research objectives and expected impact.

MOE

Deep Learning-Based Prediction of Tai Chi Biomechanical Parameters — Open Project of the Key Laboratory of Traditional Chinese Orthopedics and Sports Rehabilitation, Ministry of Education

Grant No. XGS2024004 2024 – 2027 Principal Investigator Ongoing

One-sentence description of the funded research objectives and expected impact.

Univ.

Deconstruction and Representation of Lower Limb Functional Motion Intention Based on Surface EMG in the Context of Deep Learning — 2025 Ningbo University High-Level Science and Technology Project Cultivation Program

Grant No. GJPY2025027 2025 – 2026 Principal Investigator Ongoing

One-sentence description of the funded research objectives and expected impact.

NSFC

Intelligent Spasticity Quantification Model Based on Patient-Specific Neuromuscular Skeletal Modeling — National Natural Science Foundation of China Youth Fund

Grant No. 12002177 2021 – 2023 Principal Investigator Completed

One-sentence description of the funded research objectives and expected impact.

ZJNSF

Portable Automatic Upper Limb Motor Assessment System Based on Markerless Motion Capture — Zhejiang Provincial Natural Science Foundation Youth Fund

Grant No. LQ19A020001 2019 – 2021 Principal Investigator Completed

Developing a portable upper limb motor assessment system using markerless motion capture to enable intelligent, convenient, and accurate evaluation of upper limb function in rehabilitation settings.

ZPSS

Physical Activity Status and Influencing Factors of Adolescents with Disabilities under the Healthy China Strategy — Zhejiang Provincial Philosophy and Social Science Planning Project

Grant No. 2018A610193 2019 – 2020 Principal Investigator Completed

Analysing the physical activity levels and influencing factors of adolescents with disabilities based on survey data, to provide scientific evidence for policies promoting sports participation among people with disabilities.

NBNSF

Portable Upper Limb Motion Analysis System Based on Markerless Motion Capture — Ningbo Natural Science Foundation

Grant No.2018A610193 2019 – 2020 PrincipalInvestigator Completed

Developing a portable markerless upper limb motion analysis system to enable intelligent assessment of upper limb motor function, improving the convenience and accuracy of rehabilitation evaluation.

CARM

Establishment and Application of a 3D Motion Analysis Database for Normal Adults During Level Walking and Stair Climbing — Chinese Association of Rehabilitation Medicine 2022 Science and Technology Development Project

Grant No. KFKT-2022-016 2022 – 2024 Co-Investigator Completed

Building a 3D motion analysis database of normal adults across level walking and stair-climbing tasks to characterise movement patterns and provide data support for clinical rehabilitation assessment and motor function training.

Selected Publications

Peer-reviewed articles, sorted by recency. Filter by research area below.

Open-source Tools & Resources

Open-access software and web applications developed and maintained by Hipponylab.

Academic Profiles

Find our work on major academic platforms.