Recent trends in machine learning for human activity recognition—A survey
S Ramasamy Ramamurthy… - … Reviews: Data Mining and …, 2018 - Wiley Online Library
There has been an upsurge recently in investigating machine learning techniques for activity
recognition (AR) problems as they have been very effective in extracting and learning …
recognition (AR) problems as they have been very effective in extracting and learning …
Systematic review of real-time remote health monitoring system in triage and priority-based sensor technology: Taxonomy, open challenges, motivation and …
The new and ground-breaking real-time remote monitoring in triage and priority-based
sensor technology used in telemedicine have significantly bounded and dispersed …
sensor technology used in telemedicine have significantly bounded and dispersed …
Human activity recognition using machine learning methods in a smart healthcare environment
The rapid developments in information and communication technologies and wireless
communication networks have led to the utilization of the smart sensors. In modern …
communication networks have led to the utilization of the smart sensors. In modern …
Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure
Remotely monitoring a patient's condition is a serious issue and must be addressed.
Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies …
Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies …
Real-time remote health-monitoring Systems in a Medical Centre: A review of the provision of healthcare services-based body sensor information, open challenges …
Promoting patient care is a priority for all healthcare providers with the overall purpose of
realising a high degree of patient satisfaction. A medical centre server is a remote computer …
realising a high degree of patient satisfaction. A medical centre server is a remote computer …
Data handling in industry 4.0: Interoperability based on distributed ledger technology
Information-intensive transformation is vital to realize the Industry 4.0 paradigm, where
processes, systems, and people are in a connected environment. Current factories must …
processes, systems, and people are in a connected environment. Current factories must …
Real-time fault-tolerant mHealth system: Comprehensive review of healthcare services, opens issues, challenges and methodological aspects
The burden on healthcare services in the world has increased substantially in the past
decades. The quality and quantity of care have to increase to meet surging demands …
decades. The quality and quantity of care have to increase to meet surging demands …
An edge-stream computing infrastructure for real-time analysis of wearable sensors data
The fast development of IoT in general and wearable smart sensors in particular in the
context of wellness and healthcare are demanding for definition of specific infrastructure …
context of wellness and healthcare are demanding for definition of specific infrastructure …
Sensor based human activity recognition using adaboost ensemble classifier
A Subasi, DH Dammas, RD Alghamdi… - Procedia computer …, 2018 - Elsevier
Providing accurate information about human activity is an important task in a smart city
environment. Human activity is complex, and it is important to use the best technology and …
environment. Human activity is complex, and it is important to use the best technology and …
IAMHAPPY: Towards an IoT knowledge-based cross-domain well-being recommendation system for everyday happiness
Nowadays, healthy lifestyle, fitness, and diet habits have become central applications in our
daily life. Positive psychology such as well-being and happiness is the ultimate dream of …
daily life. Positive psychology such as well-being and happiness is the ultimate dream of …