Deep Learning and IoT for Personalized Health Tracking

Language: English

Published by Scholars' Press Nov 2023, 2023

6206769984 / 9786206769989

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This item is printed on demand - Print on Demand Titel. Neuware -In this work, an innovative loT system for long-term personalized monitoring of the activities performed by a person at home is proposed. The system integrates a Wi-Fi wearable sensor and feature extraction techniques to give information on a number of activities with the aim to infer abnormal behaviors. The approach presented has been conceived to be extended to systems requiring multiple wearable sensors giving information in a personalized manner. The activity classification has been performed with a relatively small training set. This result is interesting because it shows the possibility to implement, quite easily, different HAR systems calibrated on different classes of problems for age groups of people. The presented system architecture exploits on-board Wi-Fi connectivity and cloud computing to ensure a constantly update of the network with new training sets when users are added. To this purpose every data sample acquired by the sensor is transferred to the cloud. The system architecture designed open the door to an alternative approach that could take advantage on the use of FPGA technologies for the implementation of complex signal processing systems to produce.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.…

Seller Inventory # 9786206769989

Title
Deep Learning and IoT for Personalized Health Tracking
Author
P. Vinoth Kumar
Publisher
Scholars' Press Nov 2023
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6206769984
ISBN 13
9786206769989
Item weight
107 grams
Dimensions
220x150x5 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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