Deep learning for medical anomaly detection–a survey
Machine learning–based medical anomaly detection is an important problem that has been
extensively studied. Numerous approaches have been proposed across various medical …
extensively studied. Numerous approaches have been proposed across various medical …
Deep learning approaches for human gait recognition: A review
Many biometric authentication techniques have been defined over the years; of these
techniques, Human Gait recognition has gathered popularity over the years due to its ability …
techniques, Human Gait recognition has gathered popularity over the years due to its ability …
Deep ensemble learning approach for lower extremity activities recognition using wearable sensors
Human walking is a very challenging task and always requires rigorous practice. It is a
learning process that involves the complex coordination of the brain and lower limbs. The …
learning process that involves the complex coordination of the brain and lower limbs. The …
Gait recognition based on deep learning: a survey
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
Recent use of deep learning techniques in clinical applications based on gait: a survey
Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …
and medicine. In particular, clinical gait analysis has played a significant role in improving …
A novel graph-based hybrid deep learning of cumulative GRU and deeper GCN for recognition of abnormal gait patterns using wearable sensors
J Wu, J Huang, X Wu, H Dai - Expert Systems with Applications, 2023 - Elsevier
In this study, a novel graph-based hybrid deep learning model of cumulative GRU and
deeper GCN was proposed to discover the most representative spatial–temporal gait …
deeper GCN was proposed to discover the most representative spatial–temporal gait …
Gait recognition based on deep learning: a survey
C Filipi Gonçalves dos Santos, DS Oliveira… - ACM Computing …, 2022 - dl.acm.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
[PDF][PDF] Deep Learning for Medical Anomaly Detection-A Survey.
Machine learning-based medical anomaly detection is an important problem that has been
extensively studied. Numerous approaches have been proposed across various medical …
extensively studied. Numerous approaches have been proposed across various medical …
Insole Systems for Disease Diagnosis and Rehabilitation: A Review
Some chronic diseases, including Parkinson's disease (PD), diabetic foot, flat foot, stroke,
elderly falling, and knee osteoarthritis (KOA), are related to orthopedic organs, nerves, and …
elderly falling, and knee osteoarthritis (KOA), are related to orthopedic organs, nerves, and …
Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach
J Otamendi, A Zubizarreta, E Portillo - Neural Computing and Applications, 2023 - Springer
Lower limb motor impairment affects greatly the autonomy and quality of life of those people
suffering from it. Recent studies have shown that an appropriate rehabilitation can …
suffering from it. Recent studies have shown that an appropriate rehabilitation can …