Applications of AI in martial arts: A survey

Y Pang, Y Wang, Q Wang, F Li… - Proceedings of the …, 2024 - journals.sagepub.com
Artificial intelligence (AI) has become an interdisciplinary subject that integrates digital
image processing, machine learning, and computer science, etc. A lot of work in martial arts …

Brain deformation estimation with transfer learning for head impact datasets across impact types

X Zhan, Y Liu, NJ Cecchi, O Gevaert… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: The machine-learning head model (MLHM) to accelerate the calculation of brain
strain and strain rate, which are the predictors for traumatic brain injury (TBI), but the model …

Adaptive machine learning head model across different head impact types using unsupervised domain adaptation and generative adversarial networks

X Zhan, J Sun, Y Liu, NJ Cecchi, E Le Flao… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Machine learning head models (MLHMs) are developed to estimate brain deformation from
sensor-based kinematics for early detection of traumatic brain injury (TBI). However, the …

Differences between two maximal principal strain rate calculation schemes in traumatic brain analysis with in-vivo and in-silico datasets

X Zhan, Z Zhou, Y Liu, NJ Cecchi… - Journal of …, 2025 - Elsevier
Brain deformation caused by a head impact leads to traumatic brain injury (TBI). The
maximum principal strain (MPS) was used to measure the extent of brain deformation and …

[HTML][HTML] Research progress on mechanism of craniocerebral trauma based on relationship between head acceleration and brain injury

Z Jiarui, DU Zhibo, LIU Zhanli, Z Zhuo - 爆炸与冲击, 2024 - bzycj.cn
Research progress on mechanism of craniocerebral trauma based on relationship between
head acceleration and brain injury ISSN 1001-1455 CN 51-1148/O3 EI,Scopus,CA,JST收录 …

[HTML][HTML] 基于头部运动学参数与脑损伤关系的颅脑创伤机制研究进展

张家瑞, 杜智博, 柳占立, 庄茁 - 爆炸与冲击, 2024 - bzycj.cn
由于轻度创伤性脑损伤的复杂性和数据测量方式的局限性, 直接根据脑组织损伤阈值来确定大脑
的损伤状态往往并不可行. 脑组织的损伤机制涉及复杂的力学, 生物化学和生理学过程 …

AI-based denoising of head impact kinematics measurements with convolutional neural network for traumatic brain injury prediction

X Zhan, Y Liu, NJ Cecchi, AA Callan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: Wearable devices are developed to measure head impact kinematics but are
intrinsically noisy because of the imperfect interface with human bodies. This study aimed to …

[PDF][PDF] 创伤性脑损伤研究的人类头部有限元模型研究进展

张艺涵, 王阳, 展祥皓, 周舟, 刘雨喆, 王丽珍, 樊瑜波 - 爆炸与冲击, 2025 - bzycj.cn
5. 斯坦福大学生物工程系, 美国加州斯坦福94305; 6. 斯坦福大学生物医学数据科学系,
美国加州斯坦福94305; 7. 瑞典皇家理工学院神经元工程部门, 瑞典斯德哥尔摩14152) 摘要 …

American football on-field head impact kinematics: influence of acceleration signal characteristics on peak maximal principal strain

V Bouvette, Y Petit, L De Beaumont, S Guay… - Annals of biomedical …, 2024 - Springer
Recorded head kinematics from head-impact measurement devices (HIMd) are pivotal for
evaluating brain stress and strain through head finite element models (hFEM). The variability …

Comprehensive Tennis Serve Training System Based on Local attention-based CNN Model

C Ye, R Zhu, J Ma, H Huang, X Li… - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
A high quality serving ability is crucial for winning a tennis match. Traditionally, tennis
training has relied on the use of expensive and difficult to setup multiple highspeed cameras …