Emotion recognition from gait analyses: Current research and future directions
Human gait refers to a daily motion that represents not only mobility but can also be used to
identify the walker by either human observers or computers. Recent studies reveal that gait …
identify the walker by either human observers or computers. Recent studies reveal that gait …
GCB-Net: Graph convolutional broad network and its application in emotion recognition
T Zhang, X Wang, X Xu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, emotion recognition has become a research focus in the area of artificial
intelligence. Due to its irregular structure, EEG data can be analyzed by applying graphical …
intelligence. Due to its irregular structure, EEG data can be analyzed by applying graphical …
Crowd intelligence for sustainable futuristic intelligent transportation system: a review
R Chandra Shit - Iet intelligent transport systems, 2020 - Wiley Online Library
Connected vehicles and fully automated driving systems are the main objectives of the
future transportation system. A safe interactive system that interacts with people and things is …
future transportation system. A safe interactive system that interacts with people and things is …
A novel code data dissemination scheme for Internet of Things through mobile vehicle of smart cities
More and more sensor-based devices are deployed for various applications to collect a
huge amount of data for understanding the world, which constitute ubiquitous sensing …
huge amount of data for understanding the world, which constitute ubiquitous sensing …
Vehicle trajectory prediction in connected environments via heterogeneous context-aware graph convolutional networks
The accurate trajectory prediction of surrounding vehicles is crucial for the sustainability and
safety of connected and autonomous vehicles under mixed traffic streams in the real world …
safety of connected and autonomous vehicles under mixed traffic streams in the real world …
Ideological and political education recommendation system based on ahp and improved collaborative filtering algorithm
N Wang - Scientific Programming, 2021 - Wiley Online Library
Aiming to solve the problem that ideological and political education courses in universities
are not targeted enough and cannot form personalized recommendations, this paper …
are not targeted enough and cannot form personalized recommendations, this paper …
Trajectory forecasting based on prior-aware directed graph convolutional neural network
Predicting the motion trajectories of moving agents in complex traffic scenes, such as
crossroads and roundabouts, plays an important role in cooperative intelligent transportation …
crossroads and roundabouts, plays an important role in cooperative intelligent transportation …
Internet-of-Things-enabled data fusion method for sleep healthcare applications
The Internet of Medical Things (IoMT) aims to exploit the Internet-of-Things (IoT) techniques
to provide better medical treatment scheme for patients with smart, automatic, timely, and …
to provide better medical treatment scheme for patients with smart, automatic, timely, and …
Individualized gait pattern generation for sharing lower limb exoskeleton robot
The development of sharing technology makes it possible for expensive lower limb
exoskeleton robots to be extensively employed. However, due to the uniqueness of gait …
exoskeleton robots to be extensively employed. However, due to the uniqueness of gait …
Computation offloading and wireless resource management for healthcare monitoring in fog-computing-based internet of medical things
Y Qiu, H Zhang, K Long - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
During the COVID-19 pandemic, Internet of Medical Things (IoMT) has been playing an
important role in controlling the development of the epidemic, including enabling doctors in …
important role in controlling the development of the epidemic, including enabling doctors in …