… In this paper we explore a deep learning approach to modeling the relationship between
sleep and physical activity. We first compare deep learning models with classical models, ie …

… on the deep learning algorithm is proposed, which can recognize the human physical activity
… -60 dataset to recognize the human physical activity without using any prior knowledge. It …

… , recognizing, and predicting physical activities from body-worn … the use of deep learning for
classifying physical activity using … which was acquired from UCI Machine learning repository. …

… The deep learning architecture proposed in this paper for physical activity recognition is
composed of two main parts. The first part has several layers associated to each sensor …

… of deep learning methods for biological age estimation using the locomotor physical activity
… there is any discernible association between physical activity and chronological age (which …

… The machine learning method is one of the best solutions for classifying physical activities,
with novel deep learning method recently demonstrating outstanding performances. From …

… with physical activity time series data to forecast HR. The result of the study showed the
importance of considering physical activity in … It should be noted that the deep learning models …

… poor or good sleep efficiency based on physical activity data from the awake periods from a
… deep learning approaches to modeling the relationship between sleep and physical activity. …

… using street view images and deep learning techniques. Previous … appearance with GSV and
deep learning techniques. Our … of street view images and deep learning techniques to study …

… activity generally rely on handcrafted characteristics from heuristic processes in time and
frequency domains. The advancement of deep learning … classify human physical activity. This …