Machine learning in medical applications: A review of state-of-the-art methods
Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …
complex challenges in recent years in various application areas, such as medical, financial …
Flexible artificial sensory systems based on neuromorphic devices
Emerging flexible artificial sensory systems using neuromorphic electronics have been
considered as a promising solution for processing massive data with low power …
considered as a promising solution for processing massive data with low power …
Artificial intelligence of toilet (AI-Toilet) for an integrated health monitoring system (IHMS) using smart triboelectric pressure sensors and image sensor
Smart toilet provides a feasible platform for the long-term analysis of person's health.
Common solutions for identification are based on camera or radio-frequency identification …
Common solutions for identification are based on camera or radio-frequency identification …
A survey on health monitoring systems for health smart homes
Aging population ratios are rising significantly. Health monitoring systems (HMS) in smart
environments have evolved rapidly to become a viable alternative to traditional healthcare …
environments have evolved rapidly to become a viable alternative to traditional healthcare …
The elderly's independent living in smart homes: A characterization of activities and sensing infrastructure survey to facilitate services development
Q Ni, AB Garcia Hernando, IP De la Cruz - Sensors, 2015 - mdpi.com
Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …
monitoring of a rapidly aging population in developed countries. Most works in this area use …
Recognizing daily and sports activities in two open source machine learning environments using body-worn sensor units
B Barshan, MC Yüksek - The Computer Journal, 2014 - ieeexplore.ieee.org
This study provides a comparative assessment on the different techniques of classifying
human activities performed while wearing inertial and magnetic sensor units on the chest …
human activities performed while wearing inertial and magnetic sensor units on the chest …
Human activity recognition using multisensor data fusion based on reservoir computing
Activity recognition plays a key role in providing activity assistance and care for users in
smart homes. In this work, we present an activity recognition system that classifies in the …
smart homes. In this work, we present an activity recognition system that classifies in the …
A-Wristocracy: Deep learning on wrist-worn sensing for recognition of user complex activities
In this work we present A-Wristocracy, a novel framework for recognizing very fine-grained
and complex inhome activities of human users (particularly elderly people) with wrist-worn …
and complex inhome activities of human users (particularly elderly people) with wrist-worn …
Multimodal wearable sensing for fine-grained activity recognition in healthcare
State-of-the-art in-home activity recognition schemes with wearable devices are mostly
capable of detecting coarse-grained activities (sitting, standing, walking, or lying down), but …
capable of detecting coarse-grained activities (sitting, standing, walking, or lying down), but …
Multioccupant activity recognition in pervasive smart home environments
A Benmansour, A Bouchachia, M Feham - ACM Computing Surveys …, 2015 - dl.acm.org
Human activity recognition in ambient intelligent environments like homes, offices, and
classrooms has been the center of a lot of research for many years now. The aim is to …
classrooms has been the center of a lot of research for many years now. The aim is to …