Deep learning-assisted triboelectric smart mats for personnel comprehensive monitoring toward maritime safety
Monitoring the crew of a ship can be performed by combining sensors and artificial
intelligence methods to process sensing data. In this study, we developed a deep learning …
intelligence methods to process sensing data. In this study, we developed a deep learning …
FaceSense: sensing face touch with an ear-worn system
Face touch is an unconscious human habit. Frequent touching of sensitive/mucosal facial
zones (eyes, nose, and mouth) increases health risks by passing pathogens into the body …
zones (eyes, nose, and mouth) increases health risks by passing pathogens into the body …
Deep crowd anomaly detection by fusing reconstruction and prediction networks
Abnormal event detection is one of the most challenging tasks in computer vision. Many
existing deep anomaly detection models are based on reconstruction errors, where the …
existing deep anomaly detection models are based on reconstruction errors, where the …
Distributed acoustic sensor systems for vehicle detection and classification
Intelligent transport systems (ITS) are pivotal in the development of sustainable and green
urban living. ITS is data-driven and enabled by the profusion of sensors ranging from …
urban living. ITS is data-driven and enabled by the profusion of sensors ranging from …
Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions
MH Sharif, L Jiao, CW Omlin - arXiv preprint arXiv:2210.13927, 2022 - arxiv.org
Crowd anomaly detection is one of the most popular topics in computer vision in the context
of smart cities. A plethora of deep learning methods have been proposed that generally …
of smart cities. A plethora of deep learning methods have been proposed that generally …
Energy coherent fog networks using multi-sink wireless sensor networks
Fog computing (FC) models the cloud computing paradigm expedient by bridging the
breach between centralized data servers and diverse terrestrially distributed applications. It …
breach between centralized data servers and diverse terrestrially distributed applications. It …
Pedestrian Inertial Navigation with Multi-Head CNN
Traditional pedestrian dead-reckoning (DR) methods utilizing inertial measurement units
(IMU) have been successfully employed in GPS-denied environments over the past two …
(IMU) have been successfully employed in GPS-denied environments over the past two …
A Study of Crowd Abnormal Events Understanding in Surveillance Videos
MY Benzir - PLOMS AI, 2022 - plomscience.com
Crowd abnormal events detection in surveillance videos is a common topic in computer
vision. For better security and safety, automatic video surveillance systems can detect and …
vision. For better security and safety, automatic video surveillance systems can detect and …
Intelligent Military Robot for Intruder Detection Using Matlab with Machine Learning Technique
P Jayaraman, KP Aswathi… - … Conference on Data …, 2022 - ieeexplore.ieee.org
In India most of the autonomous Robots are implemented for soldier safety purposes. Still it
requires self reliant and Aritificial intelligence features in robots. The Indian Navy has taken …
requires self reliant and Aritificial intelligence features in robots. The Indian Navy has taken …
People Detection and Tracking Using Ground LiDAR
M Matsuba, M Hashimoto… - 2022 3rd Asia …, 2022 - ieeexplore.ieee.org
People detection and tracking are crucial issues in various fields, such as surveillance,
security, and intelligent transportation systems. This paper presents a people detection and …
security, and intelligent transportation systems. This paper presents a people detection and …