3D Human Action Recognition: Through the eyes of researchers
Abstract Human Action Recognition (HAR) has remained one of the most challenging tasks
in computer vision. With the surge in data-driven methodologies, the depth modality has …
in computer vision. With the surge in data-driven methodologies, the depth modality has …
Human movement datasets: An interdisciplinary scoping review
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
Conditional artificial potential field-based autonomous vehicle safety control with interference of lane changing in mixed traffic scenario
Car-following is an essential trajectory control strategy for the autonomous vehicle, which
not only improves traffic efficiency, but also reduces fuel consumption and emissions …
not only improves traffic efficiency, but also reduces fuel consumption and emissions …
Knowledge-based digital twin for predicting interactions in human-robot collaboration
Semantic representation of motions in a human-robot collaborative environment is essential
for agile design and development of digital twins (DT) towards ensuring efficient …
for agile design and development of digital twins (DT) towards ensuring efficient …
Mandarin orange (Citrus reticulata Blanco cv. Batu 55) ripeness parameters prediction using combined reflectance-fluorescence images and deep convolutional …
This paper presents a novel approach for predicting the ripeness parameters of Mandarin
oranges (Citrus reticulata Blanco cv. Batu 55) using a Deep Convolutional Neural Network …
oranges (Citrus reticulata Blanco cv. Batu 55) using a Deep Convolutional Neural Network …
Applying deep neural networks for user intention identification
The social media revolution has provided the online community an opportunity and facility to
communicate their views, opinions and intentions about events, policies, services and …
communicate their views, opinions and intentions about events, policies, services and …
Human posture transition-time detection based upon inertial measurement unit and long short-term memory neural networks
As human–robot interaction becomes more prevalent in industrial and clinical settings,
detecting changes in human posture has become increasingly crucial. While recognizing …
detecting changes in human posture has become increasingly crucial. While recognizing …
Predicting pedestrian crossing intention in autonomous vehicles: A review
FG Landry, MA Akhloufi - Neurocomputing, 2024 - Elsevier
Road traffic accidents involving collisions between vehicles and pedestrians are a major
cause of death and injury globally. With recent technological progress in the field of …
cause of death and injury globally. With recent technological progress in the field of …
Identifying human intention during assembly operations using wearable motion capturing systems including eye focus
M Manns, TB Tuli, F Schreiber - Procedia CIRP, 2021 - Elsevier
Simulating human motion behavior in assembly operations helps to create efficient
collaboration plans for humans and robots. However, identifying human intention may …
collaboration plans for humans and robots. However, identifying human intention may …
Machine Learning for Human Motion Intention Detection
The gait pattern of exoskeleton control conflicting with the human operator's (the pilot)
intention may cause awkward maneuvering or even injury. Therefore, it has been the focus …
intention may cause awkward maneuvering or even injury. Therefore, it has been the focus …