Measurement and analysis of physical parameters of the handshake between two persons according to simple social contexts

In order to facilitate and improve robots social acceptance, they must be equipped with behaviors similar to those of humans. It is therefore necessary to study and model the phenomenon to be reproduce. This paper studies and analyzes the physical parameters of the handshake in order to have its characteristic features (frequency, duration, strength, synchronization, etc.) used to model this interaction. Features that would later help to develop bio-inspired adaptive controllers, which will allow humanoid robots to better interact with humans according to simple social contexts.

[1]  Hideki Hashimoto,et al.  Tele-Handshake through the Internet , 1996, Proceedings 5th IEEE International Workshop on Robot and Human Communication. RO-MAN'96 TSUKUBA.

[2]  Shuji Hashimoto,et al.  Handshake telephone system to communicate with voice and force , 1997, Proceedings 6th IEEE International Workshop on Robot and Human Communication. RO-MAN'97 SENDAI.

[3]  Matthew M. Williamson,et al.  Neural control of rhythmic arm movements , 1998, Neural Networks.

[4]  W. Chaplin,et al.  Handshaking, gender, personality, and first impressions. , 2000, Journal of personality and social psychology.

[5]  S. Boker,et al.  Windowed cross-correlation and peak picking for the analysis of variability in the association between behavioral time series. , 2002, Psychological methods.

[6]  J. Huwer.  Understanding Handshaking: The Result of Contextual, Interpersonal and Social Demands , 2003 .

[7]  Minoru Hashimoto,et al.  Human-Robot Handshaking using Neural Oscillators , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[8]  Tomio Watanabe,et al.  Development of a Handshake Robot System for Embodied Interaction with Humans , 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.

[9]  Tomio Watanabe,et al.  Development of a handshake robot system based on a handshake approaching motion model , 2007, 2007 IEEE/ASME international conference on advanced intelligent mechatronics.

[10]  Minoru Hashimoto,et al.  Synchronization based control using online design of dynamics and its application to human-robot interaction , 2007, 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[11]  M. Jindai,et al.  Development of a shake-motion leading model for human-robot handshaking , 2008, 2008 SICE Annual Conference.

[12]  Tomio Watanabe,et al.  A handshake robot system based on a shake-motion leading model , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Martin Buss,et al.  An HMM approach to realistic haptic human-robot interaction , 2009, World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems.

[14]  Ilana Nisky,et al.  A Turing-Like Handshake Test for Motor Intelligence , 2010, EuroHaptics.

[15]  Enzo Pasquale Scilingo,et al.  Neural correlates of human-robot handshaking , 2010, 19th International Symposium in Robot and Human Interactive Communication.

[16]  Tomio Watanabe,et al.  Development of a handshake request motion model based on analysis of handshake motion between humans , 2011, 2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

[17]  Konrad P. Körding,et al.  Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test , 2012, IEEE Transactions on Haptics.

[18]  Mohamed Chetouani,et al.  Interpersonal Synchrony: A Survey of Evaluation Methods across Disciplines , 2012, IEEE Transactions on Affective Computing.

[19]  Patrick Henaff,et al.  Analysis of synchrony of a handshake between humans , 2014, 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[20]  Viacheslav Khomenko,et al.  Sensor network architecture to measure characteristics of a handshake between humans , 2014, 2014 IEEE 34th International Scientific Conference on Electronics and Nanotechnology (ELNANO).

[21]  Dimitrios Papageorgiou,et al.  A kinematic controller for human-robot handshaking using internal motion adaptation , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).