Title
Textile Pressure Mapping Sensor for Emotional Touch Detection in Human-Robot Interaction.
Abstract
In this paper, we developed a fully textile sensing fabric for tactile touch sensing as the robot skin to detect human-robot interactions. The sensor covers a 20-by-20 cm(2) area with 400 sensitive points and samples at 50 Hz per point. We defined seven gestures which are inspired by the social and emotional interactions of typical people to people or pet scenarios. We conducted two groups of mutually blinded experiments, involving 29 participants in total. The data processing algorithm first reduces the spatial complexity to frame descriptors, and temporal features are calculated through basic statistical representations and wavelet analysis. Various classifiers are evaluated and the feature calculation algorithms are analyzed in details to determine each stage and segments' contribution. The best performing feature-classifier combination can recognize the gestures with a 93.3% accuracy from a known group of participants, and 89.1% from strangers.
Year
DOI
Venue
2017
10.3390/s17112585
SENSORS
Keywords
Field
DocType
tactile sensing,smart textiles,human-robot interaction
Computer vision,Data processing,Gesture,Artificial intelligence,Engineering,Spatial complexity,Robot,Human–robot interaction,Wavelet
Journal
Volume
Issue
ISSN
17
11.0
1424-8220
Citations 
PageRank 
References 
2
0.38
4
Authors
7
Name
Order
Citations
PageRank
Bo Zhou19418.42
Carlos Andres Velez Altamirano220.38
Heber Zurian Cruz320.38
S R Atefi461.49
Erik A. Billing5537.00
Fernando Seoane63310.13
Paul Lukowicz73287376.79