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 …
[HTML][HTML] Transportation Mode Detection Using Learning Methods and Self-Contained Sensors
I Gharbi, F Taia-Alaoui, H Fourati, N Vuillerme, Z Zhou - Sensors, 2024 - mdpi.com
Due to increasing traffic congestion, travel modeling has gained importance in the
development of transportion mode detection (TMD) strategies over the past decade …
development of transportion mode detection (TMD) strategies over the past decade …
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 …
IoT sensor-based activity recognition
The accelerometer was invented in 1783. Though the initial purpose of using accelerometer
was to validate the principles of Newtonian physics, with the advancement of the technology …
was to validate the principles of Newtonian physics, with the advancement of the technology …
DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition
With the proliferation of intelligent sensors integrated into mobile devices, fine-grained
human activity recognition (HAR) based on lightweight sensors has emerged as a useful …
human activity recognition (HAR) based on lightweight sensors has emerged as a useful …
UPIC: user and position independent classical approach for locomotion and transportation modes recognition
The Sussex-Huawei Locomotion-Transportation (SHL) Challenge 2020 was an open
competition of recognizing eight different activities that had been performed by three …
competition of recognizing eight different activities that had been performed by three …
Sensor dataglove for real-time static and dynamic hand gesture recognition
Hand gesture recognition has been a widely explored field of Human Activity Recognition
(HAR). In this work, we have presented a sensor-based hand gesture recognition framework …
(HAR). In this work, we have presented a sensor-based hand gesture recognition framework …
Recognition of human locomotion on various transportations fusing smartphone sensors
Recognition of daily human activities in various locomotion and transportation modes has
numerous applications like coaching users for behavior modification and maintaining a …
numerous applications like coaching users for behavior modification and maintaining a …
A hybrid deep learning framework using CNN and GRU-based RNN for recognition of pairwise similar activities
A challenging task in human activity recognition is to classify very naturally similar activities.
In this paper, we introduce a unified deep learning model working as a hybrid framework of …
In this paper, we introduce a unified deep learning model working as a hybrid framework of …
Urban transportation mode detection from inertial and barometric data in pedestrian mobility
This paper presents a novel urban transportation mode detection (TMD) method based on
inertial and barometric data. To the best of the authors knowledge, this is the first time that a …
inertial and barometric data. To the best of the authors knowledge, this is the first time that a …