Toward transportation mode recognition using deep convolutional and long short-term memory recurrent neural networks
With the rapid development of mobile Internet techniques, using the sensor-rich
smartphones to sense various contexts attracts much attention, such as transportation mode …
smartphones to sense various contexts attracts much attention, such as transportation mode …
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 …
LSTM network for transportation mode detection
Abstract The study of Transportation Mode Detection (TMD) has become a popular research
field in recent years. It will be a crucial part of Smart mobility and Smart cities in upcoming …
field in recent years. It will be a crucial part of Smart mobility and Smart cities in upcoming …
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 …
Deep convolutional bidirectional LSTM based transportation mode recognition
Traditional machine learning approaches for recognizing modes of transportation rely
heavily on hand-crafted feature extraction methods which require domain knowledge. So …
heavily on hand-crafted feature extraction methods which require domain knowledge. So …
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 recognition with deep forest based on GPS data
M Guo, S Liang, L Zhao, P Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Transportation mode recognition (TMR) is a common but critical task in the human behavior
research field, which provides decision support for urban traffic planning, public facility …
research field, which provides decision support for urban traffic planning, public facility …
[HTML][HTML] 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 …
A convolutional neural networks based transportation mode identification algorithm
G Yanyun, Z Fang, C Shaomeng… - … Conference on Indoor …, 2017 - ieeexplore.ieee.org
With the increasing sensing ability of smartphone, both recognizing and understanding a
user's activity using sensor data have become a popular topic of ubiquitous computing …
user's activity using sensor data have become a popular topic of ubiquitous computing …
Recognition of Transportation State by Smartphone Sensors Using Deep Bi‐LSTM Neural Network
H Zhao, C Hou, H Alrobassy… - Journal of Computer …, 2019 - Wiley Online Library
Smartphones have been used for recognizing different transportation states. However,
current studies focus on the speed of the object, which only relies on the GPS sensor rather …
current studies focus on the speed of the object, which only relies on the GPS sensor rather …