Machine learning in medical applications: A review of state-of-the-art methods

M Shehab, L Abualigah, Q Shambour… - Computers in Biology …, 2022 - Elsevier
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 …

[HTML][HTML] Physical human activity recognition using wearable sensors

F Attal, S Mohammed, M Dedabrishvili, F Chamroukhi… - Sensors, 2015 - mdpi.com
This paper presents a review of different classification techniques used to recognize human
activities from wearable inertial sensor data. Three inertial sensor units were used in this …

[HTML][HTML] Deep learning based human activity recognition (HAR) using wearable sensor data

S Gupta - International Journal of Information Management Data …, 2021 - Elsevier
Motion or inertial sensors such as gyroscope and accelerometer commonly found in
smartwatches and smartphones can measure characteristics such as acceleration and …

A tutorial on human activity recognition using body-worn inertial sensors

A Bulling, U Blanke, B Schiele - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
The last 20 years have seen ever-increasing research activity in the field of human activity
recognition. With activity recognition having considerably matured, so has the number of …

A review of wearable technologies for elderly care that can accurately track indoor position, recognize physical activities and monitor vital signs in real time

Z Wang, Z Yang, T Dong - Sensors, 2017 - mdpi.com
Rapid growth of the aged population has caused an immense increase in the demand for
healthcare services. Generally, the elderly are more prone to health problems compared to …

Sensor-based activity recognition

L Chen, J Hoey, CD Nugent… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Research on sensor-based activity recognition has, recently, made significant progress and
is attracting growing attention in a number of disciplines and application domains. However …

USC-HAD: A daily activity dataset for ubiquitous activity recognition using wearable sensors

M Zhang, AA Sawchuk - Proceedings of the 2012 ACM conference on …, 2012 - dl.acm.org
Many ubiquitous computing applications involve human activity recognition based on
wearable sensors. Although this problem has been studied for a decade, there are a limited …

Activity recognition on streaming sensor data

NC Krishnan, DJ Cook - Pervasive and mobile computing, 2014 - Elsevier
Many real-world applications that focus on addressing needs of a human, require
information about the activities being performed by the human in real-time. While advances …

A survey on human-in-the-loop applications towards an internet of all

DS Nunes, P Zhang, JS Silva - IEEE Communications Surveys …, 2015 - ieeexplore.ieee.org
Our tools and appliances are becoming increasingly more intelligent and interconnected,
giving birth to an “Internet of Things” that can be used to support new types of cyber-physical …

Transfer learning for activity recognition: A survey

D Cook, KD Feuz, NC Krishnan - Knowledge and information systems, 2013 - Springer
Many intelligent systems that focus on the needs of a human require information about the
activities being performed by the human. At the core of this capability is activity recognition …