Search results for "Sensory information"

showing 2 items of 2 documents

Grip Force Adjustments Reflect Prediction of Dynamic Consequences in Varying Gravitoinertial Fields

2018

International audience; Humans have a remarkable ability to adjust the way they manipulate tools through a genuine regulation of grip force according to the task. However, rapid changes in the dynamical context may challenge this skill, as shown in many experimental approaches. Most experiments adopt perturbation paradigms that affect only one sensory modality. We hypothesize that very fast adaptation can occur if coherent information from multiple sensory modalities is provided to the central nervous system. Here, we test whether participants can switch between different and never experienced dynamical environments induced by centrifugation of the body. Seven participants lifted an object …

Gravity (chemistry)object manipulationPhysiologyComputer science[SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]Context (language use)gravity sensing03 medical and health sciencesAcceleration0302 clinical medicinePhysiology (medical)internal-modelsmotor control[SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]movements[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]uncertaintySimulationhypergravityOriginal Research030304 developmental biologybayesian integration0303 health sciencessensorimotor memoryswitchinggrip forceGRASPsize cuesrecision gripgravity[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Grip force030217 neurology & neurosurgerysensory information
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An AMI System for User Daily Routine Recognition and Prediction

2014

Ambient Intelligence (AmI) defines a scenario involving people living in a smart environment enriched by pervasive sensory devices with the goal of assisting them in a proactive way to satisfy their needs. In a home scenario, an AmI system controls the environment according to a user’s lifestyle and daily routine. To achieve this goal, one fundamental task is to recognize the user’s activities in order to generate his daily activities profile. In this chapter, we present a simple AMI system for a home scenario to recognize and predict users’ activities. With this predictive capability, it is possible to anticipate their actions and improve their quality of life. Our approach uses a Hidden M…

Quality of lifeSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAmbient intelligenceActivities of daily livingbusiness.industryComputer scienceSystem controlSmart environmentSensory informationData scienceTask (project management)Knowledge baseActivity recognitionQuality of lifeKnowledge baseHome automationHuman–computer interactionDaily activityAmbient intelligenceSmart environmentPredictive capabilitieHidden Markov modelbusiness
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