3D Human Action Recognition: Through the eyes of researchers

A Sarkar, A Banerjee, PK Singh, R Sarkar - Expert Systems with …, 2022 - Elsevier
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 …

Human movement datasets: An interdisciplinary scoping review

T Olugbade, M Bieńkiewicz, G Barbareschi… - ACM Computing …, 2022 - dl.acm.org
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 …

Conditional artificial potential field-based autonomous vehicle safety control with interference of lane changing in mixed traffic scenario

K Gao, D Yan, F Yang, J Xie, L Liu, R Du, N Xiong - Sensors, 2019 - mdpi.com
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 …

Knowledge-based digital twin for predicting interactions in human-robot collaboration

TB Tuli, L Kohl, SA Chala, M Manns… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
Semantic representation of motions in a human-robot collaborative environment is essential
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 …

DF Al Riza, AM Ikrom, AA Tulsi, Y Hendrawan - Scientia Horticulturae, 2024 - Elsevier
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 …

Applying deep neural networks for user intention identification

A Khattak, A Habib, MZ Asghar, F Subhan, I Razzak… - Soft Computing, 2021 - Springer
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 …

Human posture transition-time detection based upon inertial measurement unit and long short-term memory neural networks

CT Kuo, JJ Lin, KK Jen, WL Hsu, FC Wang, TC Tsao… - Biomimetics, 2023 - mdpi.com
As human–robot interaction becomes more prevalent in industrial and clinical settings,
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 …

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 …

Machine Learning for Human Motion Intention Detection

JJ Lin, CK Hsu, WL Hsu, TC Tsao, FC Wang, JY Yen - Sensors, 2023 - mdpi.com
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 …