Search results for "Intention recognition"

showing 3 items of 3 documents

Hankelet-based action classification for motor intention recognition

2017

Powered lower-limb prostheses require a natural, and an easy-to-use, interface for communicating amputee’s motor intention in order to select the appropriate motor program in any given context, or simply to commute from active (powered) to passive mode of functioning. To be widely accepted, such an interface should not put additional cognitive load at the end-user, it should be reliable and minimally invasive. In this paper we present a one such interface based on a robust method for detecting and recognizing motor actions from a low-cost wearable sensor network mounted on a sound leg providing inertial (accelerometer, gyrometer and magnetometer) data in real-time. We assume that the sensor…

0209 industrial biotechnologyComputer scienceGeneral MathematicsInterface (computing)Context (language use)02 engineering and technologyAction recognitionLTI system theoryMatrix (mathematics)020901 industrial engineering & automationMatch moving0202 electrical engineering electronic engineering information engineeringMathematics (all)Computer visionObservabilitySettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industrySystem identificationComputer Science Applications1707 Computer Vision and Pattern RecognitionAction recognition; Motor intention recognition; Powered (active) lower-limb prostheses; Wearable sensor networks; Control and Systems Engineering; Software; Mathematics (all); Computer Science Applications1707 Computer Vision and Pattern RecognitionMotor intention recognitionComputer Science ApplicationsSupport vector machineControl and Systems EngineeringPowered (active) lower-limb prostheseWearable sensor network020201 artificial intelligence & image processingArtificial intelligencebusinessHankel matrixSoftwareRobotics and Autonomous Systems
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Inferring intentions through state representations in cooperative human-robot environments

2014

Humans and robots working safely and seamlessly together in a cooperative environment is one of the future goals of the robotics community. When humans and robots can work together in the same space, a whole class of tasks becomes amenable to automation, ranging from collaborative assembly to parts and material handling to delivery. Proposed standards exist for collaborative human-robot safety, but they focus on limiting the approach distances and contact forces between the human and the robot. These standards focus on reactive processes based only on current sensor readings. They do not consider future states or task-relevant information. A key enabler for human-robot safety in cooperative…

Human-robot collaborationOntology[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Intention recognitionBayesian[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]KittingReconnaissance de l'intentionManufacturingState relationsRCC8[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]SimulationUSARSim
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Intention recognition in manufacturing applications

2015

In this article, we present a novel approach to intention recognition, based on the recognition and representation of state information in a cooperative human-robot environment. States are represented by a combination of spatial relations along with cardinal direction information. The output of the Intention Recognition Algorithms will allow a robot to help a human perform a perceived operation or, minimally, not cause an unsafe situation to occur. We compare the results of the Intention Recognition Algorithms to those of an experiment involving human subjects attempting to recognize the same intentions in a manufacturing kitting domain. In almost every case, results show that the Intention…

Human-robot collaborationOntologybusiness.industryComputer scienceGeneral MathematicsManufacturing kittingRoboticsIntention recognitionRoboticsOntology (information science)Industrial and Manufacturing EngineeringComputer Science ApplicationsDomain (software engineering)Task (project management)Spatial relationControl and Systems EngineeringHuman–computer interactionRobotArtificial intelligenceState recognitionbusinessRepresentation (mathematics)SoftwareCardinal directionRobotics and Computer-Integrated Manufacturing
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