Further Details

Title: Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support
Condition: New
Author: Kyandoghere Kyamakya
Contributor: Kyandoghere Kyamakya (Edited by), Fadi Al Machot (Edited by), Habib Ullah (Edited by), Florenc Demrozi (Edited by)
Format: Hardback
EAN: 9783031718205
ISBN: 9783031718205
Edition: 2024 ed.
Publisher: Springer International Publishing AG
Genre: Computing & Internet
Release Date: 11/08/2024
Description:

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition. 


Language: English
Item Height: 235mm
Item Length: 155mm
Series: Studies in Computational Intelligence
Release Year: 2024

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