Elderly fall detection systems: A literature survey
Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …
growing aging population, there is an urgent need for the development of fall detection …
Deep learning advances in computer vision with 3d data: A survey
Deep learning has recently gained popularity achieving state-of-the-art performance in tasks
involving text, sound, or image processing. Due to its outstanding performance, there have …
involving text, sound, or image processing. Due to its outstanding performance, there have …
Ntu rgb+ d: A large scale dataset for 3d human activity analysis
Recent approaches in depth-based human activity analysis achieved outstanding
performance and proved the effectiveness of 3D representation for classification of action …
performance and proved the effectiveness of 3D representation for classification of action …
Learning multi-view aggregation in the wild for large-scale 3d semantic segmentation
Recent works on 3D semantic segmentation propose to exploit the synergy between images
and point clouds by processing each modality with a dedicated network and projecting …
and point clouds by processing each modality with a dedicated network and projecting …
Navigating industry 5.0: A survey of key enabling technologies, trends, challenges, and opportunities
This century has been a major avenue for revolutionary changes in technology and industry.
Industries have transitioned towards intelligent automation, relying less on human …
Industries have transitioned towards intelligent automation, relying less on human …
Intuitive robot teleoperation for civil engineering operations with virtual reality and deep learning scene reconstruction
Robotic teleoperation, ie, manipulating remote robotic systems at a distance, has gained its
popularity in various industrial applications, including construction operations. The key to a …
popularity in various industrial applications, including construction operations. The key to a …
Pku-mmd: A large scale benchmark for continuous multi-modal human action understanding
Despite the fact that many 3D human activity benchmarks being proposed, most existing
action datasets focus on the action recognition tasks for the segmented videos. There is a …
action datasets focus on the action recognition tasks for the segmented videos. There is a …
Deep learning-based incoherent holographic camera enabling acquisition of real-world holograms for holographic streaming system
While recent research has shown that holographic displays can represent photorealistic 3D
holograms in real time, the difficulty in acquiring high-quality real-world holograms has …
holograms in real time, the difficulty in acquiring high-quality real-world holograms has …
Mmact: A large-scale dataset for cross modal human action understanding
Unlike vision modalities, body-worn sensors or passive sensing can avoid the failure of
action understanding in vision related challenges, eg occlusion and appearance variation …
action understanding in vision related challenges, eg occlusion and appearance variation …
The kimore dataset: Kinematic assessment of movement and clinical scores for remote monitoring of physical rehabilitation
This paper proposes a free dataset, available at the following link, 1 named KIMORE,
regarding different rehabilitation exercises collected by a RGB-D sensor. Three data inputs …
regarding different rehabilitation exercises collected by a RGB-D sensor. Three data inputs …