About this document
Deep Learning for Human-Robot Interaction by Jover Gencianos is a document available to read on EtoBox.
This paper presents a deep learning approach for face detection and recognition to facilitate human-robot conversation, utilizing a mobile robot equipped with a screen-based face and powered by NVIDIA Jetson Nano. The system employs Haar Cascade for face detection and Dlib’s ResNet for face recognition, enabling the robot to identify users and track their movements for initiating conversations. The study demonstrates the effectiveness of the proposed technology in enhancing conversational intelligence in se
- Author
- Jover Gencianos
- Language
- EN