Machine learning and deep learning have shown great promise in mobile sensing applications, including Human Activity Recognition. However, the performance of such …
The field of mobile and wearable computing is undergoing a revolutionary integration of machine learning. Devices can now diagnose diseases, predict heart irregularities, and …
Photoplethysmography (PPG)-based continuous heart rate monitoring is essential in a number of domains, eg, for healthcare or fitness applications. Recently, methods based on …
Accurate human mobility prediction underpins many important applications across a variety of domains, including epidemic modelling, transport planning, and emergency responses …
J Sun, J Kim - Transportation Research Part C: Emerging …, 2021 - Elsevier
This paper aims to incorporate travel time prediction in the next location prediction problem to enable the prediction of the city-wide movement trajectory of an individual vehicle by …
Abstract The Sussex-Huawei Locomotion-Transportation Recognition Challenge presented a unique opportunity to the activity-recognition community to test their approaches on a …
Prediction of individual mobility is crucial in human mobility related applications. Whereas, existing research on individual mobility prediction mainly focuses on next location prediction …
Photoplethysmography (PPG) is a common and practical technique to detect human activity and other physiological parameters and is commonly implemented in wearable devices …
EJ Marinissen, R Arendsen, G Bos… - … 1998 (IEEE Cat. No …, 1998 - ieeexplore.ieee.org
The main objective of core-based IC design is improvement of design efficiency and time-to- market. In order to prevent test development from becoming the bottleneck in the entire …