Energy harvesting-based smart transportation mode detection system via attention-based LSTM
Detecting the transportation mode of an individual's everyday travel provides useful
information in urban design, real-time journey planning, and activity monitoring. In existing …
information in urban design, real-time journey planning, and activity monitoring. In existing …
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 …
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 …
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 …
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 …
EnTrans: Leveraging kinetic energy harvesting signal for transportation mode detection
Monitoring the daily transportation modes of an individual provides useful information in
many application domains, such as urban design, real-time journey recommendation, and …
many application domains, such as urban design, real-time journey recommendation, and …
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 …
A deep learning model for transportation mode detection based on smartphone sensing data
Understanding people's transportation modes is beneficial for empowering many intelligent
transportation systems, such as supporting urban transportation planning. Yet, current …
transportation systems, such as supporting urban transportation planning. Yet, current …
Transportation mode detection using kinetic energy harvesting wearables
Detecting the transportation mode of an individual's everyday travel provides useful
information in urban design, real-time journey planning, and activity monitoring. In existing …
information in urban design, real-time journey planning, and activity monitoring. In existing …