Classifying human-robot interaction using handshake data

Garg, Vinayak; Mukherjee, Anish; Rajaram, Bharghava

doi:10.1109/smc.2017.8123112

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Though they performed similar experiments in a Human-Robot Handshaking scenario as well, the small number of participants (n = 8) makes their results in this aspect inconclusive. Garg et al [24] similarly aimed to classify people's personality into weak and dominant. They use similar information extracted using a custom-made glove to measure accelerations, Euler angles and polar orientations.…”

Section: Distinguishing Ability Of Handshakesmentioning

confidence: 99%

Human-Robot Handshaking: A Review

Prasad

Stock‐Homburg

Peters

2021

Int J of Soc Robotics

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For some years now, the use of social, anthropomorphic robots in various situations has been on the rise. These are robots developed to interact with humans and are equipped with corresponding extremities. They already support human users in various industries, such as retail, gastronomy, hotels, education and healthcare. During such Human-Robot Interaction (HRI) scenarios, physical touch plays a central role in the various applications of social robots as interactive non-verbal behaviour is a key factor in making the interaction more natural. Shaking hands is a simple, natural interaction used commonly in many social contexts and is seen as a symbol of greeting, farewell and congratulations. In this paper, we take a look at the existing state of Human-Robot Handshaking research, categorise the works based on their focus areas, draw out the major findings of these areas while analysing their pitfalls. We mainly see that some form of synchronisation exists during the different phases of the interaction. In addition to this, we also find that additional factors like gaze, voice facial expressions etc. can affect the perception of a robotic handshake and that internal factors like personality and mood can affect the way in which handshaking behaviours are executed by humans. Based on the findings and insights, we finally discuss possible ways forward for research on such physically interactive behaviours.

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Section: Distinguishing Ability Of Handshakesmentioning

confidence: 99%

Human-Robot Handshaking: A Review

Prasad

Stock‐Homburg

Peters

2021

Int J of Soc Robotics

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“…Garg et al [20] classify people's personality as introverts and extroverts using statistics of accelerations, Euler angles and polar orientations when shaking hands with a robot hand. The features are ranked based on Mutual Information followed by a K Nearest Neighbours classification, achieving a 75% accuracy.…”

Section: Using Handshaking For Differentiationmentioning

confidence: 99%

Advances in Human-Robot Handshaking

Prasad,

Stock-Homburg,

Peters

2020

Preprint

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The use of social, anthropomorphic robots to support humans in various industries has been on the rise. During Human-Robot Interaction (HRI), physically interactive non-verbal behaviour is key for more natural interactions. Handshaking is one such natural interaction used commonly in many social contexts. It is one of the first non-verbal interactions which takes place and should, therefore, be part of the repertoire of a social robot. In this paper, we explore the existing state of Human-Robot Handshaking and discuss possible ways forward for such physically interactive behaviours.

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