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 …
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 …
The devil is in the details: An efficient convolutional neural network for transport mode detection
Transport mode detection is a classification problem aiming to design an algorithm that can
infer the transport mode of a user given multimodal signals (GPS and/or inertial sensors). It …
infer the transport mode of a user given multimodal signals (GPS and/or inertial sensors). It …
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 …
Smart factories of Industry 4.0: determination of the effective smartphone position for human activity recognition using deep learning
Industry 4.0 is the fourth Industrial Revolution, transforming workplaces and factories into
smart ones with automation at various levels. The recent boom in deep learning techniques …
smart ones with automation at various levels. The recent boom in deep learning techniques …
Combining residual and LSTM recurrent networks for transportation mode detection using multimodal sensors integrated in smartphones
In recent years, with the rapid development of public transportation, the ways people travel
has become more diversified and complicated. Transportation mode detection, as a …
has become more diversified and complicated. Transportation mode detection, as a …
A novel input set for LSTM-based transport mode detection
G Asci, MA Guvensan - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
The capability of mobile phones are increasing with the development of hardware and
software technology. Especially sensors on smartphones enable to collect environmental …
software technology. Especially sensors on smartphones enable to collect environmental …
Human activity recognition using convolutional neural networks
G Dogan, SS Ertas, İ Cay - 2021 IEEE Conference on …, 2021 - ieeexplore.ieee.org
Using smartphone sensors to recognize human activity may be advantageous due to the
abundant volume of data that can be obtained. In this paper, we propose a sensor data …
abundant volume of data that can be obtained. In this paper, we propose a sensor data …
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 …
Detecting transportation modes with low-power-consumption sensors using recurrent neural network
With the quick development of mobile Internet and the popularity of smartphones,
smartphone-based transportation mode detection has become a hot topic, which is able to …
smartphone-based transportation mode detection has become a hot topic, which is able to …