A survey on wearable sensor modality centred human activity recognition in health care
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 …
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 …
into everyday objects, both in the home and about the person. Information gathered by …
Window size impact in human activity recognition
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 …
been rarely and vaguely characterized so far. Windowing approaches are normally used for …
Elderly activities recognition and classification for applications in assisted living
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 …
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 …
information on a patient. One impressive area of study to obtain meaningful information is …
Human activity recognition: A review
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 …
various contexts like security surveillance, healthcare and human computer interaction. In …
Dealing with the effects of sensor displacement in wearable activity recognition
Most wearable activity recognition systems assume a predefined sensor deployment that
remains unchanged during runtime. However, this assumption does not reflect real-life …
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
Technological advances on the development of mobile devices, medical sensors, and
wireless communication systems support a new generation of unobtrusive, portable, and …
wireless communication systems support a new generation of unobtrusive, portable, and …
Heartbeat classification and arrhythmia detection using a multi-model deep-learning technique
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 …
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
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 …
health. This paper contributes to that area with a multidisciplinary perspective focus on …