[PDF][PDF] IoT-Deep Learning Based Activity Recommendation System.

S Kannan, RU Anitha… - Comput. Syst. Sci …, 2023 - cdn.techscience.cn
The rising use of mobile technology and smart gadgets in the field of health has had a
significant impact on the global community. Health professionals are increasingly making …

A novel and intelligent decision-making system for real-time healthcare tracking using commercial wearable data

A Peddi, TV Ramana - International Journal of …, 2023 - inderscienceonline.com
Wearable health devices became popular these days and have become genuinely
intertwined with society. Smartwatches and other fitness devices fulfil the consumer needs in …

Track My Health: An IoT approach for data acquisition and activity recognition

G Botilias, A Papoutsis, P Karvelis, C Stylios - pHealth 2020, 2020 - ebooks.iospress.nl
Abstract Human Activity Recognition (HAR) is an arisen research topic because of its usage
of self-care and prevention issues. In our days, the advances of technology (smart-phones …

A hybrid deep learning for patient activity recognition (PAR): Real time body wearable sensor network from healthcare monitoring system (HMS)

K Balasubramanian, AV Prabu… - Journal of Intelligent …, 2023 - content.iospress.com
Today's healthcare sectors are driven and work to rescue patients as soon as possible by
giving them the right care and treatment. A healthcare monitoring system works in two ways …

Case study on state-of-the-art wellness and health tracker devices

S Vyas, S Gupta - Handbook of research on lifestyle sustainability …, 2022 - igi-global.com
In today's world, the concept of smart health is attaining acceptance in the field of medical
sciences which is based completely on the concept of IoT. IoT devices are responsible for …

The Tracking System for E-Healthcare Employs IoT and Machine Learning Techniques

P Pattnayak, S Rout, S Patnaik… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Today's unhealthy lifestyles are a result of a number of issues, including irregular eating
patterns, a diet low in nutrition, environmental pollution, improper exercise, long hours at the …

Data science algorithms and techniques for smart healthcare using IoT and big data analytics

L Syed, S Jabeen, S Manimala, HA Elsayed - Smart techniques for a …, 2019 - Springer
Smart healthcare network is an innovative process of synergizing the benefits of sensors,
Internet of things (IoT), and big data analytics to deliver improved patient care while reducing …

Enhanced sensing and activity recognition system using IoT for healthcare

G Yamini, G Ganapathy - International Journal of Information …, 2021 - igi-global.com
Through the integration of advanced algorithms and smart sensing technology in healthcare
services, huge medical benefits could be gained by the aged and sick people in determining …

A wearable device for machine learning based elderly's activity tracking and indoor location system

NE Tabbakha, CP Ooi, WH Tan, YF Tan - Bulletin of Electrical Engineering …, 2021 - beei.org
The number of older people is increasing in many countries. By 2030, it is estimated that
15% of the overall population will be comprised of people aged 65 and above. Hence, the …

[PDF][PDF] Smart Health Care For Monitoring Elderly People Using Iomt And Ml

U Perumal - Journal of Data Acquisition and Processing, 2023 - sjcjycl.cn
With the help of the Internet of Things, the wearable and smart device industries are making
big strides in healthcare, products like hearing aids that work with Bluetooth and robotic …