The Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenges aim to
advance and capture the state-of-the-art in locomotion and transportation mode recognition …

Abstract The Sussex-Huawei Locomotion-Transportation Recognition Challenge presented
a unique opportunity to the activity-recognition community to test their approaches on a …

Transportation activity recognition (TAR) provides valuable support for intelligent
transportation applications, such as urban transportation planning, driving behavior …

In this paper we summarize the contributions of participants to the Sussex-Huawei
Transportation-Locomotion (SHL) Recognition Challenge organized at the HASCA …

Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at
an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient's …

We present the first work that investigates the potential of improving the performance of
transportation mode recognition through fusing multimodal data from wearable sensors …

Human activity recognition using multiple sensors is a challenging but promising task in
recent decades. In this paper, we propose a deep multimodal fusion model for activity …

Transportation Mode Detection (TMD) is an important task for the Intelligent Transportation
System (ITS) and Lifelog. TMD, using smartphone built-in sensors, can be a low-cost and …

This paper targets the SHL recognition challenge, which focuses on the location-
independent and user-independent activity recognition using smartphone sensors. To …

Recognition of daily human activities in various locomotion and transportation modes has
numerous applications like coaching users for behavior modification and maintaining a …