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Cognitive Computing and Cyber Physical Systems. 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part II

Research Article

NeuroRobo: Bridging the Emotional Gap in Human-Robot Interaction with Facial Sentiment Analysis, Object Detection, and Behavior Prediction

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-48891-7_13,
        author={Aparna Parasa and Himabindu Gugulothu and Sai Sri Poojitha Penmetsa and Shobitha Rani Pambala and Mukhtar A. Sofi},
        title={NeuroRobo: Bridging the Emotional Gap in Human-Robot Interaction with Facial Sentiment Analysis, Object Detection, and Behavior Prediction},
        proceedings={Cognitive Computing and Cyber Physical Systems. 4th EAI International Conference, IC4S 2023,  Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part II},
        proceedings_a={IC4S PART 2},
        year={2024},
        month={1},
        keywords={Human-Robot Interaction Prediction Sentiment Analysis Natural Language Processing Behavior Prediction},
        doi={10.1007/978-3-031-48891-7_13}
    }
    
  • Aparna Parasa
    Himabindu Gugulothu
    Sai Sri Poojitha Penmetsa
    Shobitha Rani Pambala
    Mukhtar A. Sofi
    Year: 2024
    NeuroRobo: Bridging the Emotional Gap in Human-Robot Interaction with Facial Sentiment Analysis, Object Detection, and Behavior Prediction
    IC4S PART 2
    Springer
    DOI: 10.1007/978-3-031-48891-7_13
Aparna Parasa1,*, Himabindu Gugulothu1, Sai Sri Poojitha Penmetsa1, Shobitha Rani Pambala1, Mukhtar A. Sofi1
  • 1: Department of Information Technology
*Contact email: 19wh1a1228@bvrithyderabad.edu.in

Abstract

Efficient and personalized human-robot interaction is a critical goal in robotics research. In this study, we propose a novel approach to enhance human-robot interaction by integrating facial sentiment analysis, object detection, and behavior prediction into a bot powered by Blender face technology. Our proposed system enables the bot to perceive and respond to the emotional states and preferences of individuals, creating a more intuitive and engaging interaction experience. By integrating lip syncing capabilities and object recognition functionality through webcam integration, the proposed solution seeks to enhance the authenticity and intuitiveness of user experiences. Through the utilization of Blender animation tools and Natural Language Processing methods, our solution facilitates seamless interaction between humans and neuro robots, contributing to improved outcomes and well-being.

Keywords
Human-Robot Interaction Prediction Sentiment Analysis Natural Language Processing Behavior Prediction
Published
2024-01-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-48891-7_13
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