Challenges and Trends in Multimodal Fall Detection for Healthcare - Softcover

Softcover

ISBN 10: 3030387496 ISBN 13: 9783030387495

Publisher: Springer, 2020

Synopsis

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.

Edition details

• Publisher: Springer
• Publication date: 2020
• Language: English
• ISBN 10: 3030387496
• ISBN 13: 9783030387495
• Binding: Paperback