Emotion sensitive robots

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Emotion sensitive robots- A NEW PARADIGM FOR HUMAN-ROBOT INTERACTION

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EMOTION-SENSITIVE ROBOTS

A NEW PARADIGM FOR HUMAN-ROBOT

INTERACTION

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INDEX

• Introduction

• Physical Responses for Emotion Recognition

• Emotion Detection and Recognition

• Control Architecture

• Communication

• Experiment

• Applications

• Conclusion

• References

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INTRODUCTION

• A robot which responds to the emotions of human- emotion sensitive robot.

• Physiologica1 responses of a human are measured through wearable biofeedback sensors to detect level of anxiety.

• The robot detects both implicit and explicit communication from the human to determine its own behavior.

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PHYSIOLOGICAL RESPONSES

• Emotions– physiological changes, expressive behaviors and states of feeling.

• Emotion recognition through Rule based system and Fuzzy logic, Neural networks .

• Neuro-fuzzy, an adaptive technique used in the development of emotion recognition.

• Response through EMG, EEG, ANS and Cardiac activity.

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PHYSIOLOGICAL RESPONSES

• EMG(electromyography)

• EEG(elctroencephalography)

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PHYSIOLOGICAL RESPONSES

• ANS(autonomic nervous system) receptor

• Cardiac activity monitor

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PHYSIOLOGICAL RESPONSES

• Electrodermal activity receptor

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Emotion Detection and Recognition

• Efforts to identify the generic signatures-

person-stereotype and situation-stereotype.

• Detecting and identifying the emotion of anxiety.

• Sensory-motor coordination was designed to elicit emotional responses from subjects.

• Features of physiological response for emotion recognition.

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Emotion Detection and Recognition

Table represents features of physiological response for emotion recognition

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Control Architecture

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Communication

• IMPLICIT- When the internal emotions are being used to communicate.

• EXPLICIT- When the visible expressions are being used to communicate

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Communication

• Class1- high urgency level situation.• Class2- Medium urgency level situation.• Class3- low urgency level situation.

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Communication

Fig. Generating triggers from implicit and explicit communications

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Communication

Fig. Behavior model in the robot when task is assigned

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EXPERIMENT

• APPARATUS

Emotion sensitive robot named ORACLE Operator Bio-feedback sensor Workspace Physiological state monitor

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PROCEDURE

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• Oracle’s tasks included: (i) Exploring the workspace

(ii) Avoiding obstacles in the workspace

(iii) Wall following

(iv) Providing environment related information to the human.

(v) Responding to the urgency of the situation in the following manner

a) Class 1 Trigger - Raise an alarm, reach the human in shortest

possible time.

b) Class 2 Trigger - Move to the vicinity of the operator

c) Class 3 Trigger- Initiate speech to query the operator or give

suggestions

PROCEDURE

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RESULT

Where actual = actual level of anxiety, predicted = predicted level of anxiety, n = total number

of data points

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RESULT

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RESULT

Figure. Path taken by Oracle through implicit communication

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APPLICATIONS

To help a human during – Search and rescue operationsFire fightingSpaceRemote planetUnderwater explorationWarfareMedical unit

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CONCLUSION

• Proposed an innovative human-robot interaction structure wherein the robot was sensitive to the emotions of the human.

• Achieved computing, psychology, and robotics to develop a robotic system capable of combining implicit and explicit channels of

communication from the human.• Future work would consist of expanding the range of

tasks and contexts to which this framework

can be applied.

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REFERENCES

• http://en.wikipedia.org/wiki/Electromyography• http://www.paranormality.com/eda.shtml• V. Riley, A General Model of Mixed-Initiative

Human-Machine Systems• Nursebot Project, http://iwww-2.cs.cmu.edui-

nursebot• http://www.inel.gov%2Fadaptiverobotics

%2Fhumanoidrobotics%2F&ei=PNZDUJCVFoesrAeX6YGICA&usg=AFQjCNFFx6BCb4orDfI2kQF1byZyg2erfg&sig2=y3bk4ugz0em0izszD7UdhA

• www.ai.mit.edu/projects/humanoid-robotics-group/

24 QUIRIES???

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