Handshake response motion model with approaching of human based on an analysis of human handshake motions

Ota, Shunsuke; Jindai, Mitsuru; Sasaki, Tohru; Ikemoto, Yusuke

doi:10.1109/icumt.2015.7382396

Cited by 6 publications

(15 citation statements)

References 8 publications

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“…We have already described the work of Jindai et al [32,37,38] and Ota et al [62,63] above. To the best of our knowledge, Human likeness of proposed handshake models [85,86] *Simulated robot these were the first works to model the hand reaching aspect and deploy it on a robot.…”

Section: Reaching Phase Of Handshakingmentioning

confidence: 98%

“…A group of researchers from Okayama Prefectural University, Japan conducted a series of studies [32][33][34][35][36][37][38]62,63,89] to study handshaking interactions between humans and analyse how participants respond to different behaviours applied on a custom robotic arm. They use a VICON motion capture system to track markers placed on both shoulders, right elbow wrists and hands of both participants.…”

Section: Insights From Human-human Handshake Interactionsmentioning

confidence: 99%

“…Subsequently, the oscillatory motion profiles of the observed shaking behaviours were modelled as a spring and damper system [35,89]. Following this, the interactiveness was studied by modelling the requester [32,37] and responder [62,63] behaviours with respect to delays in the motions and auxiliary behaviours like gaze and speech. The result of applying the key findings from the above works on their robot is explored in Sect.…”

Section: Insights From Human-human Handshake Interactionsmentioning

confidence: 99%

“…It was found that the most preferred behaviour was when the gaze shifts steadily from the hand while reaching out to the face after contact is established. The response models [62,63] ware tested based on the delay between the request and response motions and it was seen that starting the response a fraction of a second (0.2-0.4 s) after the response was preferred. However, a larger delay of 0.6s was less preferable.…”

Section: External Factors In Handshakingmentioning

confidence: 99%

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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: Reaching Phase Of Handshakingmentioning

confidence: 98%

Section: Insights From Human-human Handshake Interactionsmentioning

confidence: 99%

Section: Insights From Human-human Handshake Interactionsmentioning

confidence: 99%

Section: External Factors In Handshakingmentioning

confidence: 99%

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Human-Robot Handshaking: A Review

Prasad

Stock‐Homburg

Peters

2021

Int J of Soc Robotics

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show abstract

“…Later, they study the best arm and gaze movements for their robot to request a handshake [59]. Following this, they studied the timings and the lag between the start of a request of a handshake and the start of a response [85] [86]. In one of our past works [11], we implemented a handshake system on the Vizzy robot.…”

Section: Referential Communicationmentioning

confidence: 99%