Quo vadis artificial intelligence?

Y Jiang, X Li, H Luo, S Yin, O Kaynak - Discover Artificial Intelligence, 2022 - Springer
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …

Review of real-time three-dimensional shape measurement techniques

Z Wang - Measurement, 2020 - Elsevier
This paper reviews the state-of-the-art real-time three-dimensional shape measurement
techniques that are capable of reconstructing the dynamic objects. In this review paper, we …

Human activity recognition process using 3-D posture data

S Gaglio, GL Re, M Morana - IEEE Transactions on Human …, 2014 - ieeexplore.ieee.org
In this paper, we present a method for recognizing human activities using information
sensed by an RGB-D camera, namely the Microsoft Kinect. Our approach is based on the …

[HTML][HTML] Validation of an ergonomic assessment method using Kinect data in real workplace conditions

P Plantard, HPH Shum, AS Le Pierres, F Multon - Applied ergonomics, 2017 - Elsevier
Evaluating potential musculoskeletal disorders risks in real workstations is challenging as
the environment is cluttered, which makes it difficult to accurately assess workers' postures …

[图书][B] Introduction to flat panel displays

JH Lee, IC Cheng, H Hua, ST Wu - 2020 - books.google.com
THE PERFECT GUIDE TO FLAT PANEL DISPLAYS FOR RESEARCHERS AND INDUSTRY
PERSONNEL ALIKE Introduction to Flat Panel Displays, 2nd Edition is the leading …

Spatio-temporal manifold learning for human motions via long-horizon modeling

H Wang, ESL Ho, HPH Shum… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Data-driven modeling of human motions is ubiquitous in computer graphics and computer
vision applications, such as synthesizing realistic motions or recognizing actions. Recent …

Motion tracking and gait feature estimation for recognising Parkinson's disease using MS Kinect

O Ťupa, A Procházka, O Vyšata, M Schätz… - Biomedical engineering …, 2015 - Springer
Background Analysis of gait features provides important information during the treatment of
neurological disorders, including Parkinson's disease. It is also used to observe the effects …

Movement detection of human body segments: Passive radio-frequency identification and machine-learning technologies

S Amendola, L Bianchi… - IEEE Antennas and …, 2015 - ieeexplore.ieee.org
Movement detection of human body segments is a fertile research topic in human-computer
interaction, as well as in medical and entertainment applications. In spite of the fact that most …

A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring

NK Mangal, AK Tiwari - Computers in Biology and Medicine, 2021 - Elsevier
The human musculoskeletal (MSK) system (also known as the locomotor system) provides
strength and assistance to perform functional tasks and daily life activities. The MSK health …

[HTML][HTML] Adaptive multi-view feature selection for human motion retrieval

Z Wang, Y Feng, T Qi, X Yang, JJ Zhang - Signal Processing, 2016 - Elsevier
Human motion retrieval plays an important role in many motion data based applications. In
the past, many researchers tended to use a single type of visual feature as data …