- Gait Recognition and Analysis
- Hand Gesture Recognition Systems
- Human Pose and Action Recognition
- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Shanxi Eye Hospital
2023
Shanxi Medical University
2023
Northeastern University
2021
Sign language is commonly used by deaf or speech impaired people to communicate but requires significant effort master. Language Recognition (SLR) aims bridge the gap between sign users and others recognizing signs from given videos. It an essential yet challenging task since performed with fast complex movement of hand gestures, body posture, even facial expressions. Recently, skeleton-based action recognition attracts increasing attention due independence subject background variation....
Sign language is commonly used by deaf or mute people to communicate but requires extensive effort master. It usually performed with the fast yet delicate movement of hand gestures, body posture, and even facial expressions. Current Language Recognition (SLR) methods extract features via deep neural networks suffer overfitting due limited noisy data. Recently, skeleton-based action recognition has attracted increasing attention its subject-invariant background-invariant nature, whereas SLR...
Estimating dimensional measurements of the choroid provides diagnostic values which can be used to assess choroidal health. In this paper we describe a methodology calculating from segmentations automatically generated using convolutional neural network (CNN). We use three-dimensional (3D) U-Net architecture built residual units segment choroid. A surface fitting phase is jointed main process compensate segmented defects at area Optic Nerve Hypoplasia (ONH). Consequently, these estimate mean...
Sign language is commonly used by deaf or speech impaired people to communicate but requires significant effort master. Language Recognition (SLR) aims bridge the gap between sign users and others recognizing signs from given videos. It an essential yet challenging task since performed with fast complex movement of hand gestures, body posture, even facial expressions. Recently, skeleton-based action recognition attracts increasing attention due independence subject background variation....