Challenges in sensor-based human activity recognition and a comparative analysis of benchmark datasets: A review
Human Activity Recognition using embedded sensors has lately made renowned
development and is drawing growing attention in numerous application domains including …
development and is drawing growing attention in numerous application domains including …
A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity
Discrete choice models has been for decades the most used technique to model travel
mode choice, being the multinomial logit (MNL) the most popular model among them …
mode choice, being the multinomial logit (MNL) the most popular model among them …
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 …
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 …
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
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 …
Wearable sensor-based gait analysis for age and gender estimation
Wearable sensor-based systems and devices have been expanded in different application
domains, especially in the healthcare arena. Automatic age and gender estimation has …
domains, especially in the healthcare arena. Automatic age and gender estimation has …
Synthetic sensor data for human activity recognition
F Alharbi, L Ouarbya, JA Ward - 2020 International Joint …, 2020 - ieeexplore.ieee.org
Human activity recognition (HAR) based on wearable sensors has emerged as an active
topic of research in machine learning and human behavior analysis because of its …
topic of research in machine learning and human behavior analysis because of its …
Transportation mode detection by using smartphones and smartwatches with machine learning
Abstract Transportation Mode Detection (TMD) is important in planning new transportation
projects as well as improving existing ones. Therefore, this study aims to develop predictive …
projects as well as improving existing ones. Therefore, this study aims to develop predictive …
An approach to classify human activities in real-time from smartphone sensor data
According to the scenario of the last few decades, sensor-based human activity recognition
has gained considerable research attention due to its novel applications in health care …
has gained considerable research attention due to its novel applications in health care …