Search results for "movement patterns"

showing 5 items of 5 documents

Embodied Meter Revisited : Entrainment, Musical Content, and Genre in Music-Induced Movement

2022

Previous research has shown that humans tend to embody musical meter at multiple beat levels during spontaneous dance. This work that been based on identifying typical periodic movement patterns, or eigenmovements, and has relied on time-domain analyses. The current study: 1) presents a novel method of using time-frequency analysis in conjunction with group-level tensor decomposition; 2) compares its results to time-domain analysis, and 3) investigates how the amplitude of eigenmovements depends on musical content and genre. Data comprised three-dimensional motion capture of 72 participants’ spontaneous dance movements to 16 stimuli including eight different genres. Each trial was subjected…

genretanssientrainmenteigenmovementmusic information retrievalmusiikkiliikeanalyysimovementmusic and danceliikerytmimovement patterns
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Going underground: short- and long-term movements may reveal the fossorial spatial ecology of an amphisbaenian

2021

[Background]: The movement and spatial ecology of an animal depends on its morphological and functional adaptations to its environment. In fossorial animals, adaptations to the underground life help to face peculiar ecological challenges, very different from those of epigeal species, but may constrain their movement ability.

0106 biological sciencesMovement patternsEcology (disciplines)010603 evolutionary biology01 natural sciencesAmphisbaenians03 medical and health sciencesSpace useTrogonophis wiegmannilcsh:QH301-705.5PIT tag telemetryEcology Evolution Behavior and Systematics030304 developmental biology0303 health sciencesMovement (music)EcologyResearchSpace useFossorialTerm (time)Geographylcsh:Biology (General)Animal ecologyFossorial reptilesSpatial ecologyEpigeal
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Revealing the unique features of each individual's muscle activation signatures

2021

International audience; There is growing evidence that each individual has unique movement patterns, or signatures. The exact origin of these movement signatures, however, remains unknown. We developed an approach that can identify individual muscle activation signatures during two locomotor tasks (walking and pedalling). A linear support vector machine was used to classify 78 participants based on their electromyographic (EMG) patterns measured on eight lower limb muscles. To provide insight into decision-making by the machine learning classification model, a layer-wise relevance propagation (LRP) approach was implemented. This enabled the model predictions to be decomposed into relevance …

Movement patternsComputer science[SDV]Life Sciences [q-bio]MovementBiomedical EngineeringBiophysicsBioengineeringWalkingElectromyographyBiochemistryLower limbMachine LearningBiomaterials03 medical and health sciences0302 clinical medicine[SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]medicineHumansRelevance (information retrieval)Muscle SkeletalElectromyographic (EMG)030304 developmental biology0303 health sciencesmedicine.diagnostic_testElectromyographybusiness.industryMusclesMotor controlLife Sciences–Physics interfacePattern recognitionMuscle activationSignature (logic)Support vector machineStatistical classificationArtificial intelligencebusiness030217 neurology & neurosurgeryBiotechnologyJournal of The Royal Society Interface
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Might as well jump: Sound affects muscle activation in skateboarding

2014

The aim of the study is to reveal the role of sound in action anticipation and performance, and to test whether the level of precision in action planning and execution is related to the level of sensorimotor skills and experience that listeners possess about a specific action. Individuals ranging from 18 to 75 years of age - some of them without any skills in skateboarding and others experts in this sport - were compared in their ability to anticipate and simulate a skateboarding jump by listening to the sound it produces. Only skaters were able to modulate the forces underfoot and to apply muscle synergies that closely resembled the ones that a skater would use if actually jumping on a ska…

lcsh:Medicinemedicine.disease_causeSocial and Behavioral Sciencesexperience0302 clinical medicineJumpingperception and action mechanismsmuscle activation; sound feedbackHuman PerformancePsychologylcsh:Sciencemedia_commonMultidisciplinarySettore INF/01 - InformaticaMedicine (all)05 social sciencesMuscle activationMiddle AgedAnticipationSensory Systemsaction anticipation; performance; sensorimotor skills; experience; sound; muscle activation; skateboarding; action planning; movement patternsMental HealthSoundsound feedbackAuditory SystemAction planningJumpMedicineSensory Perceptionperception and action mechanisms; Anticipatory postural adjustment; Auditory InterfacesperformanceCognitive psychologyResearch ArticleHumanMuscle ContractionAdultAdolescentmedia_common.quotation_subjectCognitive NeuroscienceskateboardingBiology050105 experimental psychology03 medical and health sciencesMotor ReactionsYoung Adultsensorimotor skillsPerceptionmedicineReaction Timeaction planningHumans0501 psychology and cognitive sciencesActive listeningSports and Exercise Medicineaction anticipationmuscle activationMuscle SkeletalBiologyComputerized SimulationsAgedAnticipatory postural adjustmentMotor SystemsBehaviorAnalysis of VarianceBiochemistry Genetics and Molecular Biology (all)Electromyographylcsh:RAcoustic Stimulation; Adolescent; Adult; Aged; Analysis of Variance; Electromyography; Humans; Middle Aged; Muscle Contraction; Muscle Skeletal; Reaction Time; Skating; Young Adult; Psychomotor Performance; Sound; Agricultural and Biological Sciences (all); Biochemistry Genetics and Molecular Biology (all); Medicine (all)movement patternsAuditory InterfacesAction (philosophy)Acoustic StimulationAgricultural and Biological Sciences (all)SkatingComputer Sciencelcsh:Q030217 neurology & neurosurgeryPsychomotor PerformanceNeuroscience
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Scavengers on the move: behavioural changes in foraging search patterns during the annual cycle

2013

Background: Optimal foraging theory predicts that animals will tend to maximize foraging success by optimizing search strategies. However, how organisms detect sparsely distributed food resources remains an open question. When targets are sparse and unpredictably distributed, a Lévy strategy should maximize foraging success. By contrast, when resources are abundant and regularly distributed, simple Brownian random movement should be sufficient. Although very different groups of organisms exhibit Lévy motion, the shift from a Lévy to a Brownian search strategy has been suggested to depend on internal and external factors such as sex, prey density, or environmental context. However, animal re…

MaleBiologiaMovement patternslcsh:MedicineWildlifeAnnual cycleBehavioral EcologyFeeding behaviorOrnithologySex factorsZoologiaSpatial and Landscape EcologyZoologíalcsh:ScienceMultidisciplinarybiologyEcologyAnimal BehaviorEcologyWelfare economicsReproductionBiodiversityAnnual cycleEuropeChristian ministryFemaleAlgorithmsResearch ArticleAnimal TypesForagingSpatial BehaviorSatellite trackingModels BiologicalSex FactorsSearch strategiesAnimalsTerrestrial EcologyBiologyEcosystemFalconiformesEvolutionary BiologyForaging successlcsh:RFeeding Behaviorbiology.organism_classificationFalconiformesSpatial behaviorPredatory BehaviorAfricalcsh:QVeterinary ScienceZoology
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