0000000000306998

AUTHOR

Oleguer Camerino

0000-0002-9069-6448

showing 2 related works from this author

Impulsivity and physical activity: A T-Pattern detection of motor behavior profiles.

2020

The relation between impulsivity and physical activity has been scantly investigated. Actually, during physical activity, several goals are achieved on the basis of a certain dose of impulsiveness. This study detects motor and interactive behavior profiles from athletes with traits of impulsiveness, moderate impulsiveness and non-impulsiveness, performing open motor tasks concerning material, space and interaction behaviors. A specific test was administered to assess the impulsivity profiles of athletes; then the Observational System of Motor Skills, Space, Time and Interaction (OSMOSTI), was used to observe and detect movement sequences patterns throughout T-Pattern detection and analysis …

Physical activityExperimental and Cognitive PsychologyImpulsivity03 medical and health sciencesBehavioral NeuroscienceEatingExecutive Function0302 clinical medicinemedicineHumans0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyExerciseMotor skillbiologyAthletesWorking memory05 social sciencesbiology.organism_classificationExecutive functionsImpulsive BehaviorTraitObservational studymedicine.symptomPsychology030217 neurology & neurosurgeryCognitive psychologyPhysiologybehavior
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T-pattern detection and analysis for the discovery of hidden features of behaviour

2018

Abstract Background The behaviour of all living beings consists of hidden patterns in time; consequently, its nature and its underlying dynamics are intrinsically difficult to be perceived and detected by the unaided observer. Method Such a scientific challenge calls for improved means of detection, data handling and analysis. By using a powerful and versatile technique known as T-pattern detection and analysis (TPA) it is possible to unveil hidden relationships among the behavioural events in time. Results TPA is demonstrated to be a solid and versatile tool to study the deep structure of behaviour in different experimental contexts, both in human and non human subjects. Conclusion This re…

Group method of data handlingComputer scienceHidden patternPattern Recognition Automated03 medical and health sciencesPattern detectionBehavioural sequence0302 clinical medicineAnimalsHumans0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyBehaviorbusiness.industryGeneral Neuroscience05 social sciencesT-pattern analysiPattern recognitionObserver (special relativity)Models TheoreticalTPAArtificial intelligencebusiness030217 neurology & neurosurgerySoftwareNeuroscience
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