Machine learning-based affect detection within the context of human-horse interaction: Human-robot Computing, Sensing and Networking

Book chapter

Turke Althobaiti, Stamos Katsigiannis, Daune West, Hassan Rabah and Naeem Ramzan

pp.45-61

IET COMPUTING SERIES, Inst Engineering Tech-Iet

01/01/2020

Abstract

Computer Science

Computer Science, Artificial Intelligence

Computer Science, Cybernetics

Robotics

Science & Technology

Technology

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Title: Machine learning-based affect detection within the context of human-horse interaction
Creators - without role: Turke Althobaiti - Northern (Arctic) Federal University
Stamos Katsigiannis - University of the West of Scotland
Daune West - University of the West of Scotland
Hassan Rabah - Univ Lorraine, Inst Jean Lamour, Nancy, France
Naeem Ramzan - University of the West of Scotland
Contributors - without role: M Z Shakir
N Ramzan
Publication Details: pp.45-61
Series: IET COMPUTING SERIES
Publisher: Inst Engineering Tech-Iet; STEVENAGE
Number of pages: 17
Identifiers: 9919347908331
Academic Unit: Northern Borders University
Language: English
Resource Type: Book chapter