Transportation mode detection combining CNN and vision transformer with sensors recalibration using smartphone built-in sensors
Y Tian, D Hettiarachchi, S Kamijo - Sensors, 2022 - mdpi.com
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 …
System (ITS) and Lifelog. TMD, using smartphone built-in sensors, can be a low-cost and …
Feature Pyramid biLSTM: Using Smartphone Sensors for Transportation Mode Detection
The widespread utilization of smartphones has provided extensive availability to Inertial
Measurement Units, providing a wide range of sensory data that can be advantageous for …
Measurement Units, providing a wide range of sensory data that can be advantageous for …
[HTML][HTML] Feature pyramid biLSTM: Using smartphone sensors for transportation mode detection
The wide utilization of smartphones has provided extensive availability to Inertial
Measurement Units, providing a wide range of sensory data that can be advantageous for …
Measurement Units, providing a wide range of sensory data that can be advantageous for …
Transportation mode detection using temporal convolutional networks based on sensors integrated into smartphones
P Wang, Y Jiang - Sensors, 2022 - mdpi.com
In recent years, with the development of science and technology, people have more and
more choices for daily travel. However, assisting with various mobile intelligent services by …
more choices for daily travel. However, assisting with various mobile intelligent services by …
Deep CNN-BiLSTM model for transportation mode detection using smartphone accelerometer and magnetometer
Transportation mode detection from smartphone data is investigated as a relevant problem
in the multi-modal transportation systems context. Neural networks are chosen as a timely …
in the multi-modal transportation systems context. Neural networks are chosen as a timely …
GLMLP-TRANS: A transportation mode detection model using lightweight sensors integrated in smartphones
X Liu - Computer Communications, 2022 - Elsevier
Transportation mode detection (TMD), as an essential part of Intelligent Transportation
Systems, aims at analyzing human current transportation activities, and can be widely …
Systems, aims at analyzing human current transportation activities, and can be widely …
Feature cloning and feature Fusion Based Transportation Mode Detection using convolutional neural network
The smartphone-based sensors (including accelerometer, proximity, and gyroscope
sensors) are ubiquitous and emerging mobility data sources that could be used for …
sensors) are ubiquitous and emerging mobility data sources that could be used for …
Convolutional neural network-based travel mode recognition based on multiple smartphone sensors
Nowadays, large-scale human mobility has led to increasingly severe traffic congestion in
cities, how to accurately identify people's travel mode has become particularly important for …
cities, how to accurately identify people's travel mode has become particularly important for …
Breaking the limits of transportation mode detection: Applying deep learning approach with knowledge-based features
J Iskanderov, MA Guvensan - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Activity recognition and transportation mode detection are the key research areas for context-
aware systems. In smart environments such as cities, buildings, transportation systems etc …
aware systems. In smart environments such as cities, buildings, transportation systems etc …
User-Independent Motion and Location Analysis for Sussex-Huawei Locomotion Data
S Hwang, Y Cho, K Kim - Adjunct Proceedings of the 2023 ACM …, 2023 - dl.acm.org
Transportation mode detection (TMD) is a context-aware computing technology with
significant potential in several applications. However, the development of TMD technologies …
significant potential in several applications. However, the development of TMD technologies …