Emotion-sensitive robots - a new paradigm for human-robot interaction

Rani, P. Arockia Jansi; Sarkar, Nilanjan

doi:10.1109/ichr.2004.1442120

Cited by 19 publications

(9 citation statements)

References 31 publications

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“…At point G, the state switches to S 3 denoting the emotion detected is still nervous (E=2) and the speed of the gripper is set to 0.667cm/s. At point H, the speed changes to a negative value of -0.333cm/s which is in S 10 . It symbolizes that the subject's arm has reached the home position and the gripper direction is changed to forward motion again.…”

Section: Co-published By Atlantis Press and Taylor And Francismentioning

confidence: 99%

“…It is reported that the impact of students' cognitive emotions during interactions with different computer-based learning environments can be rather frustrating than boring [10]. Thus, it is essential to observe the mental health of the subject for HMI application as it could affect the self-confidence of the subject and recovery period [11] through their emotion.…”

Section: Co-published By Atlantis Press and Taylor And Francis Copyrighmentioning

confidence: 99%

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Development of Emotional State Model using Electromagnetic Signal Information for Rehabilitation Robot

Ghazali¹,

Sidek²,

Sado³

2016

IJCIS

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The paper presents a development of emotion recognition system which can detect human emotion in real-time leveraging information captured from human body's electromagnetic (EM) signals. A new model of controller framework was designed to embed the emotion recognition module which was evaluated on a robot-assisted rehabilitation platform. The framework is based on hybrid automata model and used to govern the suitable trajectory to deploy by the robotic platform in assisting rehabilitation therapy. The result of the new controller design demonstrates the efficacy of the approach where emotion of the subject is taken into consideration in switching the rehabilitation tasks.

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Section: Co-published By Atlantis Press and Taylor And Francismentioning

confidence: 99%

Section: Co-published By Atlantis Press and Taylor And Francis Copyrighmentioning

confidence: 99%

Development of Emotional State Model using Electromagnetic Signal Information for Rehabilitation Robot

Ghazali¹,

Sidek²,

Sado³

2016

IJCIS

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show abstract

“…The latest research indicates that emotion plays an important role in decisionmaking, perception, learning and a variety of other cognitive tasks (Picard 1997). Endowing a robot with a degree of emotional intelligence will open the doors to more meaningful and natural interaction between humans and robots (Rani and Sarkar 2004). In nonverbal communication, the emotional states of a human are detected, interpreted and responded by robots.…”

Section: Nonverbal Acoustic Communicationmentioning

confidence: 99%

“…Endowing the robot with a degree of emotional intelligence will open the doors to more meaningful and natural interaction between humans and robots (Rani and Sarkar 2004). In nonverbal communication, the emotional states are detected, interpreted and responded by an intelligent agent, or a robot.…”

Section: Nonverbal Acoustic Communicationmentioning

confidence: 99%

Nonverbal acoustic communication in human-computer interaction

Lin

Makedon

2010

Artif Intell Rev

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Nonverbal communication helps to compensate many hidden meanings omitted from spoken language. In some situations, nonverbal communication may even take the place of verbal communication. In this paper, we introduce how nonverbal acoustic communication can be utilized in human-computer interaction. We first overview acoustic techniques for nonverbal communication. Then we provide a design framework of nonverbal communication based intelligent agents. We demonstrate an example of the design using an experimental iPad game.

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“…By determining emotional states, robots can extend the ways of communication with humans, being able to approximate human-human communication, identify human behavior or extend interaction possibilities. Emotion-sensitive robots can be aware of how humans behave and adapt to the situation [1] and use emotion perception to act as specialist systems [2]. When a robot is able to perceive and react to emotions, human interaction also changes.…”

Section: Introductionmentioning

confidence: 99%

Recognizing complex mental states with deep hierarchical features for Human-Robot Interaction

Barros

Wermter

2015

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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The use of emotional states for Human-Robot Interaction (HRI) has attracted considerable attention in recent years. One of the most challenging tasks is to recognize the spontaneous expression of emotions, especially in an HRI scenario. Every person has a different way to express emotions, and this is aggravated by the complexity of interaction with different subjects, multimodal information and different environments. We propose a deep neural model which is able to deal with these characteristics and which is applied in recognition of complex mental states. Our system is able to learn and extract deep spatial and temporal features and to use them to classify emotions in sequences. To evaluate the system, the CAM3D corpus is used. This corpus is composed of videos recorded from different subjects and in different indoor environments. Each video contains the recording of the upper-body part of the subject expressing one of twelve complex mental states. Our system is able to recognize spontaneous complex mental states from different subjects and can be used in such an HRI scenario.

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Emotion-sensitive robots - a new paradigm for human-robot interaction

Cited by 19 publications

References 31 publications

Development of Emotional State Model using Electromagnetic Signal Information for Rehabilitation Robot

Development of Emotional State Model using Electromagnetic Signal Information for Rehabilitation Robot

Nonverbal acoustic communication in human-computer interaction

Recognizing complex mental states with deep hierarchical features for Human-Robot Interaction

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