Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
Three-year review of the 2018–2020 SHL challenge on transportation and locomotion mode recognition from mobile sensors
The Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenges aim to
advance and capture the state-of-the-art in locomotion and transportation mode recognition …
advance and capture the state-of-the-art in locomotion and transportation mode recognition …
IF-ConvTransformer: A framework for human activity recognition using IMU fusion and ConvTransformer
Y Zhang, L Wang, H Chen, A Tian, S Zhou… - Proceedings of the ACM …, 2022 - dl.acm.org
Recent advances in sensor based human activity recognition (HAR) have exploited deep
hybrid networks to improve the performance. These hybrid models combine Convolutional …
hybrid networks to improve the performance. These hybrid models combine Convolutional …
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors
Abstract The Sussex-Huawei Locomotion-Transportation Recognition Challenge presented
a unique opportunity to the activity-recognition community to test their approaches on a …
a unique opportunity to the activity-recognition community to test their approaches on a …
Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2020
In this paper we summarize the contributions of participants to the third Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Summary of SHL challenge 2023: Recognizing locomotion and transportation mode from GPS and motion sensors
In this paper we summarize the contributions of participants to the fifth Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Summary of the sussex-huawei locomotion-transportation recognition challenge
In this paper we summarize the contributions of participants to the Sussex-Huawei
Transportation-Locomotion (SHL) Recognition Challenge organized at the HASCA …
Transportation-Locomotion (SHL) Recognition Challenge organized at the HASCA …
Locomotion and transportation Mode Recognition from GPS and radio signals: Summary of SHL Challenge 2021
In this paper we summarize the contributions of participants to the fourth Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
A semisupervised end-to-end framework for transportation mode detection by using gps-enabled sensing devices
As an essential component of Internet of Things, GPS-enabled devices record tremendous
digital traces, which provide a great convenience for understanding human mobility. How to …
digital traces, which provide a great convenience for understanding human mobility. How to …
Transportation mode recognition fusing wearable motion, sound, and vision sensors
We present the first work that investigates the potential of improving the performance of
transportation mode recognition through fusing multimodal data from wearable sensors …
transportation mode recognition through fusing multimodal data from wearable sensors …