A survey of human gait-based artificial intelligence applications

EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

Toward automating clinical assessments: a survey of the timed up and go

G Sprint, DJ Cook, DL Weeks - IEEE reviews in biomedical …, 2015 - ieeexplore.ieee.org
Older adults often suffer from functional impairments that affect their ability to perform
everyday tasks. To detect the onset and changes in abilities, healthcare professionals …

[PDF][PDF] Internet of medical things (IoMT): Applications, benefits and future challenges in healthcare domain.

GJ Joyia, RM Liaqat, A Farooq, S Rehman - J. Commun., 2017 - academia.edu
Abstract—Internet of Medical Things (IOMT) is playing vital role in healthcare industry to
increase the accuracy, reliability and productivity of electronic devices. Researchers are …

An IoMT‐Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique

MF Khan, TM Ghazal, RA Said, A Fatima… - Computational …, 2021 - Wiley Online Library
The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …

Improving service engagement in healthcare through internet of things based healthcare systems

V Bhatt, S Chakraborty - Journal of Science and Technology Policy …, 2023 - emerald.com
Purpose The purpose of the study was to empirically validate the linkages between IoT
adoption and how it overarched influenced the patient care service engagement. This …

User preference for an IoT healthcare application for lifestyle disease management

S Kim, S Kim - Telecommunications Policy, 2018 - Elsevier
The current convergence between information and communications technology (ICT) and
medical fields reflects a shared vision of seamlessly connected sensors and devices that …

Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare

R Saini, P Kumar, B Kaur, PP Roy, DP Dogra… - International Journal of …, 2019 - Springer
Remote monitoring of patients is considered as one of the reliable alternatives to healthcare
solutions for elderly and/or chronically ill patients. Further, monitoring interaction with people …

Supporting social interactions with an expressive heart rate sharing application

F Liu, L Dabbish, G Kaufman - Proceedings of the ACM on Interactive …, 2017 - dl.acm.org
The present work explores the social dynamics of expressive biosignals: leveraging
wearable technologies to introduce sensed physiological data as a means of clarifying the …

Internet of things for an age-friendly healthcare

EI Konstantinidis, G Bamparopoulos… - Digital Healthcare …, 2015 - ebooks.iospress.nl
In healthcare applications a large cohort of recent implementations utilises IoT-oriented
infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT …

A real-time kinect signature-based patient home monitoring system

G Blumrosen, Y Miron, N Intrator, M Plotnik - Sensors, 2016 - mdpi.com
Assessment of body kinematics during performance of daily life activities at home plays a
significant role in medical condition monitoring of elderly people and patients with …