Challenges and Trends in Multimodal Fall Detection for Healthcare - Tapa blanda

 
9783030387495: Challenges and Trends in Multimodal Fall Detection for Healthcare

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Sinopsis

Challenges and Solutions on Human Fall Detection and Classification.- Open Source Implementation for Fall Classification 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 Classification 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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Otras ediciones populares con el mismo título

9783030387471: Challenges and Trends in Multimodal Fall Detection for Healthcare: 273 (Studies in Systems, Decision and Control)

Edición Destacada

ISBN 10:  303038747X ISBN 13:  9783030387471
Editorial: Springer, 2020
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