Helping a robot to understand human actions and objects: a grammatical view
Sign Up to like & getrecommendations! Published in 2020 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-020-00600-y
Abstract: Humans are able to perform a wide variety of complex actions manipulating a very large number of objects. We can make predictions on the outcome of our actions and on how to use different objects.… read more here.
Keywords: action object; human actions; helping robot; robot understand ... See more keywords
Do infants represent human actions cross-modally? An ERP visual-auditory priming study
Sign Up to like & getrecommendations! Published in 2021 at "Biological Psychology"
DOI: 10.1016/j.biopsycho.2021.108047
Abstract: Recent findings indicate that 7-months-old infants perceive and represent the sounds inherent to moving human bodies. However, it is not known whether infants integrate auditory and visual information in representations of specific human actions. To… read more here.
Keywords: actions cross; represent human; human actions; infants represent ... See more keywords
Human actions recognition in video scenes from multiple camera viewpoints
Sign Up to like & getrecommendations! Published in 2019 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2019.03.010
Abstract: Abstract Internet of Video Things (IoVT) has been proposed and studied as a scenario where video cameras are ubiquitous and continuously acquiring data from their surroundings. In order to enable handling of a large amount… read more here.
Keywords: video; human actions; actions recognition; recognition ... See more keywords
FactorNet: Holistic Actor, Object, and Scene Factorization for Action Recognition in Videos
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3070688
Abstract: The ability to recognize human actions in a video is challenging due to the complex nature of video data and the subtlety of human actions. Human activities often get associated with surrounding objects and occur… read more here.
Keywords: action recognition; scene; action; actor ... See more keywords
When proxy-driven learning is no better than random: The consequences of representational incompleteness
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0271268
Abstract: Machine learning is widely used for personalisation, that is, to tune systems with the aim of adapting their behaviour to the responses of humans. This tuning relies on quantified features that capture the human actions,… read more here.
Keywords: machine learning; better random; proxy driven; incompleteness ... See more keywords