Challenges and Trends in Multimodal Fall Detection for Healthcare
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ISBN-13:
9783030387471
Veröffentl:
2020
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
29.01.2020
Seiten:
276
Autor:
Hiram Ponce
Gewicht:
582 g
Format:
241x160x21 mm
Serie:
273, Studies in Systems, Decision and Control
Sprache:
Englisch
Beschreibung:
This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion.
Covers challenging issues and current trends for designing fall detection systems using a multimodal approach
Challenges and Solutions on Human Fall Detection and Classi¿cation.- Open Source Implementation for Fall Classi¿cation and Fall Detection Systems.- Detecting Human Activities based on a Multimodal Sensor Data Set using a Bidirectional Long Short-Term Memory Model: A Case Study.- Approaching Fall Classi¿cation using the UP-Fall Detection Dataset: Analysis and Results from an International Competition.- Reviews and Trends on Multimodal Healthcare.- A Novel Approach for Human Fall Detection and Fall Risk Assessment.
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