Results 81 to 90 of about 2,862,142 (355)

Pupillometry of Groove: Evidence for Noradrenergic Arousal in the Link Between Music and Movement

open access: yesFrontiers in Neuroscience, 2019
The capacity to entrain motor action to rhythmic auditory stimulation is highly developed in humans and extremely limited in our closest relatives. An important aspect of auditory-motor entrainment is that not all forms of rhythmic stimulation motivate ...
Daniel L. Bowling   +3 more
semanticscholar   +1 more source

Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities

open access: yesAdvanced Intelligent Systems, EarlyView.
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar   +10 more
wiley   +1 more source

INTERPRETACJE RUCHOWE MUZYKI W METODZIE RYTMIKI EMILA JAQUES-DALCROZE’A

open access: yesAccelerando: BJMD, 2019
The method of learning and experiencing music through movement is proposed by Emil Jaques-Dalcroze at the beginning of the 20th century as a very complex, holistic method of artistic education, that leads to harmonious development of man through the ...
Anna Galikowska-Gajewska
doaj  

All-ages Movement Project - Project Report [PDF]

open access: yes, 2006
The All-ages Movement Project (AMP) is aiming to find and better understand youth-run cultural organizations focused on music in the United States. For four months, AMP has been exploring these organizations' social and political significance and the ...
Shannon Stewart
core  

CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set

open access: yesAdvanced Intelligent Systems, EarlyView.
In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost predictive performance. Moreover, they are noise‐sensitive, leading to suboptimal feature selection and accuracy degradation.
Duanyang Feng   +4 more
wiley   +1 more source

Performance of Angle of Arrival Detection Using MUSIC Algorithm in Inter-Satellite Link

open access: yes, 2018
An attitude of satellite is not always static, sometimes it moves randomly and the antenna pointing of satellite is harder to achieve line of sight communication to other satellite when it is outage by tumbling effect.
Muhammad, Cahya Budi   +2 more
core   +1 more source

Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions

open access: yesAdvanced Intelligent Systems, EarlyView.
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani   +2 more
wiley   +1 more source

A qualitative motion analysis study of voluntary hand movement induced by music in patients with Rett syndrome

open access: yesNeuropsychiatric Disease and Treatment, 2009
Tohshin Go1, Asako Mitani21Center for Baby Science, Doshisha University, Kizugawa, Kyoto, Japan; 2Independent Music Therapist (Poco A Poco Music Room), Tokyo, JapanAbstract: Patients with Rett syndrome are known to respond well to music irrespective of ...
Tohshin Go, Asako Mitani
doaj  

Interpersonal entrainment in Indian instrumental music performance: Synchronization and movement coordination relate to tempo, dynamics, metrical and cadential structure

open access: yesMusic & Science, 2019
Two complementary aspects of interpersonal entrainment – synchronization and movement coordination – are explored in North Indian classical instrumental music, in the auditory and visual domains respectively.
M. Clayton, Kelly Jakubowski, T. Eerola
semanticscholar   +1 more source

A Literature Survey on Potential Private User Information Leakage in Metaverse Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley   +1 more source

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