Challenges and trends in multimodal fall detection for healthcare. (2020)

• Record Type: Book
• Further Information: Note: Hiram Ponce, Lourdes Martínez-Villaseñor, Jorge Brieva, Ernesto Moya-Albor, editors.
• Other Names: Ponce, Hiram; Martínez-Villaseñor, María de Lourdes; Brieva, Jorge; Moya-Albor, Ernesto
• Contents: 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.
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (263 pages)
• Subjects: 610.285; Biosensors; Falls (Accidents) in old age; Biosensors; Falls (Accidents) in old age; Electronic books; Electronic books
• Languages: English
• ISBNs: 9783030387488; 3030387488; 9783030387495; 3030387496; 9783030387501
• Related ISBNs: 9783030387471; 303038747X; 303038750X
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.