Spike-based tactile pattern recognition using an extreme learning machine

IEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings

Volumn , Issue , 2015, Pages

  Rasouli, Mahdi ^a   Yi, Chen ^b   Basu, Arindam ^b   Thakor, Nitish V ^a   Kukreja, Sunil ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; ENERGY EFFICIENCY; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; RECONFIGURABLE HARDWARE;

BINARY CLASSIFICATION; BIOLOGICALLY INSPIRED; EXTREME LEARNING MACHINE; FLEXIBLE TACTILE SENSORS; INTEGRATING SENSORS; OBJECT CLASSIFICATION; PROPOSED ARCHITECTURES; TACTILE INFORMATION;

PATTERN RECOGNITION;

EID: 84962639330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BioCAS.2015.7348394     Document Type: Conference Paper

References (9)

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