A survey on wearable sensor modality centred human activity recognition in health care

Y Wang, S Cang, H Yu - Expert Systems with Applications, 2019 - Elsevier
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

[HTML][HTML] Application of data fusion techniques and technologies for wearable health monitoring

RC King, E Villeneuve, RJ White, RS Sherratt… - Medical engineering & …, 2017 - Elsevier
Technological advances in sensors and communications have enabled discrete integration
into everyday objects, both in the home and about the person. Information gathered by …

Window size impact in human activity recognition

O Banos, JM Galvez, M Damas, H Pomares, I Rojas - Sensors, 2014 - mdpi.com
Signal segmentation is a crucial stage in the activity recognition process; however, this has
been rarely and vaguely characterized so far. Windowing approaches are normally used for …

Elderly activities recognition and classification for applications in assisted living

S Chernbumroong, S Cang, A Atkins, H Yu - Expert Systems with …, 2013 - Elsevier
Assisted living systems can help support elderly persons with their daily activities in order to
help them maintain healthy and safety while living independently. However, most current …

Unsupervised learning for human activity recognition using smartphone sensors

Y Kwon, K Kang, C Bae - Expert Systems with Applications, 2014 - Elsevier
To provide more sophisticated healthcare services, it is necessary to collect the precise
information on a patient. One impressive area of study to obtain meaningful information is …

Human activity recognition: A review

OC Ann, LB Theng - 2014 IEEE international conference on …, 2014 - ieeexplore.ieee.org
Human Activity Recognition is one of the active research areas in computer vision for
various contexts like security surveillance, healthcare and human computer interaction. In …

Dealing with the effects of sensor displacement in wearable activity recognition

O Banos, MA Toth, M Damas, H Pomares, I Rojas - Sensors, 2014 - mdpi.com
Most wearable activity recognition systems assume a predefined sensor deployment that
remains unchanged during runtime. However, this assumption does not reflect real-life …

Physiodroid: Combining wearable health sensors and mobile devices for a ubiquitous, continuous, and personal monitoring

O Banos, C Villalonga, M Damas… - The Scientific World …, 2014 - Wiley Online Library
Technological advances on the development of mobile devices, medical sensors, and
wireless communication systems support a new generation of unobtrusive, portable, and …

Heartbeat classification and arrhythmia detection using a multi-model deep-learning technique

S Irfan, N Anjum, T Althobaiti, AA Alotaibi, AB Siddiqui… - Sensors, 2022 - mdpi.com
Cardiac arrhythmias pose a significant danger to human life; therefore, it is of utmost
importance to be able to efficiently diagnose these arrhythmias promptly. There exist many …

[HTML][HTML] Correlation between videogame mechanics and executive functions through EEG analysis

T Mondéjar, R Hervás, E Johnson, C Gutierrez… - Journal of biomedical …, 2016 - Elsevier
This paper addresses a different point of view of videogames, specifically serious games for
health. This paper contributes to that area with a multidisciplinary perspective focus on …