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

Inbunden, Engelska, 2024

Del i serien Studies in Computational Intelligence

2 180 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems.

Produktinformation

Utgivningsdatum:2024-11-08
Mått:155 x 235 x 21 mm
Vikt:663 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:278
Förlag:Springer International Publishing AG
ISBN:9783031718205

Utforska kategorier

Innehållsförteckning

Decoding Human Essence Novel Machine Learning Techniques and Sensor Applications in Emotion Perception and Activity Detection.- Leveraging Context-Aware Emotion and Fatigue Recognition through Large Language Models for Enhanced Advanced Driver Assistance Systems ADAS.- ECG based Human Emotion Recognition Using Generative Models.- An evolutionary convolutional neural network architecture for recognizing emotions from EEG signals.- Analyzing the Potential Contribution of a Meta Learning Approach to Robust and Effective Subject Independent Emotion related Time Series Analysis of Bio signals.- A Multibranch LSTM CNN Model for Human Activity Recognition.- Importance of Activity and Emotion Detection in the field of Ambient Assisted Living.- Real Time Human Activity Recognition for the Elderly VR Training with Body Area Networks.- An Interactive Metamodel Integration Approach IMIA for Active and Assisted Living Systems.