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Categories of touch : Classifying human touch using a soft tactile sensor

Jiong Sun, Erik Billing, Fernando Seoane, Bo Zhou, Dan Högberg, Paul Hemeren

发表年份
2017
引用次数
2

摘要

Social touch plays an important role not only in human communication but also in human-robot interaction. We here report results from an ongoing study on affective human-robot interaction. In our previous research, touch type is shown to be informative for communicated emotion. Here, a soft matrix array sensor is used to capture the tactile interaction between human and robot and a method based on PCA and kNN is applied in the experiment to classify different touch types, constituting a pre-stage to recognizing emotional tactile interaction. Results show an average recognition rate for classified touch type of 71%, with a large variability between different types of touch. Results are discussed in relation to affective HRI and social robotics.

关键词

Tactile sensorHuman–robot interactionArtificial intelligenceRobotComputer scienceHuman–computer interactionTactile displayRoboticsComputer visionRelation (database)

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