Improving human mobility identification with trajectory augmentation
Sign Up to like & getrecommendations! Published in 2019 at "GeoInformatica"
DOI: 10.1007/s10707-019-00378-7
Abstract: Many location-based social networks (LBSNs) applications such as customized Point-Of-Interest (POI) recommendation, preference-based trip planning, travel time estimation, etc., involve an important task of understanding human trajectory patterns. In particular, identifying and linking trajectories to… read more here.
Keywords: trajectory; mobility identification; location; improving human ... See more keywords
Improving Human Activity Recognition Integrating LSTM with Different Data Sources: Features, Object Detection and Skeleton Tracking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3186465
Abstract: Over the past few years, technologies in the field of computer vision have greatly advanced. The use of deep neural networks, together with the development of computing capabilities, has made it possible to solve problems… read more here.
Keywords: recognition; human activity; detection; object detection ... See more keywords