Sensor Network Architecture to Measure Characteristics of a Handshake Between Humans Artem Melnyk 1, 3 ETIS UMR 8051, UCP-ENSEA-CNRS Cergy-Pontoise University F-95000 Cergy Pontoise, France
[email protected]
Viacheslav Khomenko3 Donetsk National Technical University 58 Artyom Street, 83000 Donetsk, Ukraine
[email protected] Volodymyr Borysenko 3 Donetsk National Technical University 58 Artyom Street, 83000 Donetsk, Ukraine
[email protected]
2
Patrick Henaff LORIA UMR 7503, University of Lorraine-INRIA-CNRS F-54506 Nancy
[email protected]
Abstract—Handshaking is an important component of social interaction between people in many cultures. Thus, for further applications in human/humanoid-robot interaction it is important to understand and measure the characteristics of a handshake during interaction between humans. In this paper, a new wearable sensor network to measure a handshake is described. It consists of a set of several sensors (accelerometers, gyroscopes and force sensors) attached to the glove, and of a microcontroller for signal acquisition and conditioning. The paper focuses on the applicability and qualitative analysis of the proposed architecture of sensors through several experiments of handshaking between two human subjects. The results show that the proposed system allows reproducible experiments to quantify handshake characteristics such as duration and strength of the grip, vigor and rhythmicity of a handshake. Keywords— handshaking; physical interaction; inertial sensor; force sensor; data glove; synchrony
I. II.
INTRODUCTION
THE PROPOSED HANDSHAKING MEASUREMENT SYSTEM
A. Principle of measurement B. Calibration of Sensors Network III.
HUMAN-HUMAN PHYSICAL INTERACTION IV.
CONCLUSION
ACKNOWLEDGMENT Authors would like to thank the head of Neurocybernetics team of ETIS laboratory, Philippe Gaussier for his advice. Special thanks to associated professor Pavlo Rozkariaka for his help in gyroscope calibration. This work is supported in part by the French Embassy in Ukraine and by the INTERACT French project referenced ANR-09-CORD-014.
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