@inproceedings{fde9872cf6374ca986d62bc55ed71fd3,
title = "A Robot Hand with Capacitive Tactile Sensor for Object Recognition using Support Vector Machine",
abstract = "Touch sensing is essential for humans to perceive objects. Tactile sensing is also important for robot hand manipulation as it provides information on surface properties and interactive forces at contact points between robot fingers and an object. This paper presents a robot hand grasping system equipped with a novel capacitive tactile sensor. The sensor is integrated with a high-precision digital-analog hybrid chip based on a novel R-SpiNNaker architecture. According to the tactile dataset obtained from this system, object recognition is performed by the support vector machine (SVM) algorithm. The results show that superior performance is achieved by SVM with kernel of radial basis function, with accuracy of 98.6\%.",
keywords = "tactile sensing, object recognition, support vector machine",
author = "Xiaofei Liu and Wuqiang Yang and Fan Meng and Tengchen Sun",
year = "2023",
month = jul,
day = "13",
doi = "10.1109/I2MTC53148.2023.10175966",
language = "English",
isbn = "9781665453844",
series = "IEEE International Instrumentation and Measurement Technology Conference",
publisher = "IEEE",
booktitle = "2023 IEEE International Instrumentation and Measurement Technology Conference",
address = "United States",
note = "2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) ; Conference date: 22-05-2023 Through 25-05-2023",
}