New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

Gait analysis in neurorehabilitation: from research to clinical practice

M Bonanno, AM De Nunzio, A Quartarone, A Militi… - Bioengineering, 2023 - mdpi.com
When brain damage occurs, gait and balance are often impaired. Evaluation of the gait
cycle, therefore, has a pivotal role during the rehabilitation path of subjects who suffer from …

Deep residual network for smartwatch-based user identification through complex hand movements

S Mekruksavanich, A Jitpattanakul - Sensors, 2022 - mdpi.com
Wearable technology has advanced significantly and is now used in various entertainment
and business contexts. Authentication methods could be trustworthy, transparent, and non …

Computer vision and machine learning-based gait pattern recognition for flat fall prediction

B Chen, C Chen, J Hu, Z Sayeed, J Qi, HF Darwiche… - Sensors, 2022 - mdpi.com
Background: Gait recognition has been applied in the prediction of the probability of elderly
flat ground fall, functional evaluation during rehabilitation, and the training of patients with …

Psymo: A dataset for estimating self-reported psychological traits from gait

A Cosma, E Radoi - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
Psychological trait estimation from external factors such as movement and appearance is a
challenging and long-standing problem in psychology, and is principally based on the …

Effects of age, body height, body weight, body mass index and handgrip strength on the trajectory of the plantar pressure stance-phase curve of the gait cycle

C Wolff, P Steinheimer, E Warmerdam… - … in Bioengineering and …, 2023 - frontiersin.org
The analysis of gait patterns and plantar pressure distributions via insoles is increasingly
used to monitor patients and treatment progress, such as recovery after surgeries. Despite …

TS2HGRNet: a paradigm of two stream best deep learning feature fusion assisted framework for human gait analysis using controlled environment in smart cities

MA Khan, A Mehmood, S Kadry, NA Almujally… - Future Generation …, 2023 - Elsevier
Industrial advancements and large financial stakes are rousing to grasp the aims of smart
cities. Their key aim is to increase efficiency and citizens' quality of life. Human Gait …

A virtual, 3D multimodal approach to victim and crime scene reconstruction

C Villa, N Lynnerup, C Jacobsen - Diagnostics, 2023 - mdpi.com
In the last two decades, forensic pathology and crime scene investigations have seen a
rapid increase in examination tools due to the implementation of several imaging …

Machine learning and explainable artificial intelligence using counterfactual explanations for evaluating posture parameters

C Dindorf, O Ludwig, S Simon, S Becker, M Fröhlich - Bioengineering, 2023 - mdpi.com
Postural deficits such as hyperlordosis (hollow back) or hyperkyphosis (hunchback) are
relevant health issues. Diagnoses depend on the experience of the examiner and are …

Gaitpt: Skeletons are all you need for gait recognition

A Catruna, A Cosma, E Radoi - arXiv preprint arXiv:2308.10623, 2023 - arxiv.org
The analysis of patterns of walking is an important area of research that has numerous
applications in security, healthcare, sports and human-computer interaction. Lately, walking …