A systematic review of smartphone-based human activity recognition methods for health research
Smartphones are now nearly ubiquitous; their numerous built-in sensors enable continuous
measurement of activities of daily living, making them especially well-suited for health …
measurement of activities of daily living, making them especially well-suited for health …
Intelligent localization and deep human activity recognition through IoT devices
Ubiquitous computing has been a green research area that has managed to attract and
sustain the attention of researchers for some time now. As ubiquitous computing …
sustain the attention of researchers for some time now. As ubiquitous computing …
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 …
HARTH: a human activity recognition dataset for machine learning
Existing accelerometer-based human activity recognition (HAR) benchmark datasets that
were recorded during free living suffer from non-fixed sensor placement, the usage of only …
were recorded during free living suffer from non-fixed sensor placement, the usage of only …
Distributional and spatial-temporal robust representation learning for transportation activity recognition
Transportation activity recognition (TAR) provides valuable support for intelligent
transportation applications, such as urban transportation planning, driving behavior …
transportation applications, such as urban transportation planning, driving behavior …
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 …
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 …
Robust and ubiquitous mobility mode estimation using limited cellular information
Recent mobility mode estimation systems propose using signals from the serving cell tower
only to be deployable on all phones. However, all available solutions depend on statistical …
only to be deployable on all phones. However, all available solutions depend on statistical …
[HTML][HTML] Achieving More with Less: A Lightweight Deep Learning Solution for Advanced Human Activity Recognition (HAR)
S AlMuhaideb, L AlAbdulkarim, DM AlShahrani… - Sensors, 2024 - mdpi.com
Human activity recognition (HAR) is a crucial task in various applications, including
healthcare, fitness, and the military. Deep learning models have revolutionized HAR …
healthcare, fitness, and the military. Deep learning models have revolutionized HAR …