EHPE: Skeleton cues-based gaussian coordinate encoding for efficient human pose estimation
Human pose estimation (HPE) has many wide applications such as multimedia processing,
behavior understanding and human-computer interaction. Most previous studies have …
behavior understanding and human-computer interaction. Most previous studies have …
State-of-the-art human-computer-interaction in metaverse
Z Lyu - International Journal of Human–Computer Interaction, 2024 - Taylor & Francis
With the increasing popularity of the Metaverse concept, human beings have stepped to a
new height in the intelligent technology progress. This work presents a literature review of …
new height in the intelligent technology progress. This work presents a literature review of …
Overview of behavior recognition based on deep learning
K Hu, J **, F Zheng, L Weng, Y Ding - Artificial intelligence review, 2023 - Springer
Human behavior recognition has always been a hot spot for research in computer vision.
With the wide application of behavior recognition in virtual reality and short video in recent …
With the wide application of behavior recognition in virtual reality and short video in recent …
Bensignnet: Bengali sign language alphabet recognition using concatenated segmentation and convolutional neural network
Sign language recognition is one of the most challenging applications in machine learning
and human-computer interaction. Many researchers have developed classification models …
and human-computer interaction. Many researchers have developed classification models …
Requirements engineering for internet of things (loT) software systems development: a systematic map** study
The Internet of Things (IoT) paradigm is growing, affecting human life and aiming to solve
problems in the real world, ie, in education, healthcare, smart homes, intelligent …
problems in the real world, ie, in education, healthcare, smart homes, intelligent …
FD-SSD: An improved SSD object detection algorithm based on feature fusion and dilated convolution
Q Yin, W Yang, M Ran, S Wang - Signal Processing: Image Communication, 2021 - Elsevier
Abstract Objects that occupy a small portion of an image or a frame contain fewer pixels and
contains less information. This makes small object detection a challenging task in computer …
contains less information. This makes small object detection a challenging task in computer …
Facial expression recognition method with multi-label distribution learning for non-verbal behavior understanding in the classroom
The automatical recognition of human facial expression has attracted attention in the field of
computer vision and machine learning. Previous works on this topic set many constraints …
computer vision and machine learning. Previous works on this topic set many constraints …
Masked-face recognition using deep metric learning and FaceMaskNet-21
R Golwalkar, N Mehendale - Applied Intelligence, 2022 - Springer
Abstract The coronavirus disease 2019 (COVID-19) has made it mandatory for people all
over the world to wear facial masks to prevent the spread of the virus. The conventional face …
over the world to wear facial masks to prevent the spread of the virus. The conventional face …
[PDF][PDF] Emerging techniques in vision-based human posture detection: Machine learning methods and applications
Human posture detection is a rapidly evolving field with significant implications for various
applications, including healthcare, surveillance, and human-computer interaction. The …
applications, including healthcare, surveillance, and human-computer interaction. The …
Bimodal learning engagement recognition from videos in the classroom
M Hu, Y Wei, M Li, H Yao, W Deng, M Tong, Q Liu - Sensors, 2022 - mdpi.com
Engagement plays an essential role in the learning process. Recognition of learning
engagement in the classroom helps us understand the student's learning state and optimize …
engagement in the classroom helps us understand the student's learning state and optimize …