Results 21 to 30 of about 3,649,021 (290)
Robust recognition and segmentation of human actions using HMMs with missing observations [PDF]
, 2005 This paper describes the integration of missing observation data with hidden Markov models to create a framework that is able to segment and classify individual actions from a stream of human motion using an incomplete 3D human pose estimation.
Bui, Hung H. +3 more
core +3 more sources
IET Computer Vision, 2019 Recognising human actions in untrimmed videos is an important challenging task. An effective three‐dimensional (3D) motion representation and a powerful learning model are two key factors influencing recognition performance.
Huy‐Hieu Pham +4 more
doaj +1 more source
Egyptian Journal of Medical Human Genetics, 2020 Background Recurrent pregnancy loss (RPL) is a common disorder that affects around 3 to 5% of pregnant women. It has different causes, and in about 50%, it is of unknown etiology.
Ilhem Nassour-Mokhtari +7 more
doaj +1 more source
Human Actions Recognition Method Under Stationary Background [PDF]
Jisuanji gongcheng, 2017 Aiming at the situation that most surveillance cameras are fixed in practical engineering applications,in order to enable the intelligent cameras with limited computing ability to identify human actions in real time,an action recognition method combining
GAO Chenlan,ZHU Jiagang
doaj +1 more source
Electroencephalogram evidence for the activation of human mirror neuron system during the observation of intransitive shadow and line drawing actions [PDF]
, 2013 This article is available open access from the NCBI website at the link below. Copyright 2013 © Neural Regeneration Research. This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 ...
Sun, Y, Wang, F, Zhu, H
core +2 more sources
Simple yet efficient real-time pose-based action recognition
, 2019 Recognizing human actions is a core challenge for autonomous systems as they directly share the same space with humans. Systems must be able to recognize and assess human actions in real-time.
Curio, Cristóbal +2 more
core +1 more source
Modeling Interdependent and Periodic Real-World Action Sequences
, 2018 Mobile health applications, including those that track activities such as exercise, sleep, and diet, are becoming widely used. Accurately predicting human actions is essential for targeted recommendations that could improve our health and for ...
Althoff, Tim +2 more
core +1 more source
Fletcher’s Situation Ethics for Societal Moral Order
Bangladesh Journal of Bioethics, 2023 Situation ethics is aimed at regulating human actions and values based on the prevailing and forcible circumstances that may determine what should be valued as morals, Such “ethics of living” is necessary for the sake of the common or greater good.
Philip Osarobu Isanbor
doaj +1 more source
What Actions are Needed for Understanding Human Actions in Videos?
, 2017 What is the right way to reason about human activities? What directions forward are most promising? In this work, we analyze the current state of human activity understanding in videos.
Gupta, Abhinav +2 more
core +1 more source
Novel Kernel-Based Recognizers of Human Actions
EURASIP Journal on Advances in Signal Processing, 2010 We study unsupervised and supervised recognition of human actions in video sequences. The videos are represented by probability distributions and then meaningfully compared in a probabilistic framework.
Danafar Somayeh +2 more
doaj +2 more sources