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Towards automatic feature extraction for activity recognition from wearable sensors: a deep learning approach
(IEEE, 2017-11)
This paper presents a novel approach for activity recognition from accelerometer data. Existing approaches usually extract hand-crafted features that are used as input for classifiers. However, hand-crafted features are ...
A CNN Based Transfer Learning Model for Automatic Activity Recognition from Accelerometer Sensors
(Springer US, 2018-09)
Accelerometers are become ubiquitous and available in several devices such as smartphones, smartwaches, fitness trackers, and wearable devices. Accelerometers are increasingly used to monitor human activities of daily ...
A Deep Learning Method for Automatic Visual Attention Detection in Older Drivers
(Springer, Cham, 2019-10)
This paper addresses a new problem of automatic detection of visual attention in older adults based on their driving speed. All state-of-the-art methods try to understand the on-road performance of older adults by means ...