Ny
bokomslag Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support
Data & IT

Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support

Kyandoghere Kyamakya Fadi Al Machot Habib Ullah Florenc Demrozi

Inbunden

3079:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-16 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 278 sidor
  • 2024
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.
  • Författare: Kyandoghere Kyamakya, Fadi Al Machot, Habib Ullah, Florenc Demrozi
  • Format: Inbunden
  • ISBN: 9783031718205
  • Språk: Engelska
  • Antal sidor: 278
  • Utgivningsdatum: 2024-11-08
  • Förlag: Springer International Publishing AG