Multiobjective Calibration of Event-Detection Systems

2017 ◽  
Vol 143 (8) ◽  
pp. 06017004 ◽  
Author(s):  
Mashor Housh ◽  
Ziv Ohar
Keyword(s):  
Event Detection ◽  
Detection Systems ◽  
Multiobjective Calibration

scholarly journals Data Transmission Reduction in Wireless Sensor Network for Spatial Event Detection

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7256
Author(s):  
Marcin Lewandowski ◽  
Bartłomiej Płaczek
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Event Detection ◽  
Detection Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Essential Requirement ◽  
Detection Systems ◽  
Transmission Reduction ◽  
Long Lifetime

Wireless sensor networks have found many applications in detecting events such as security threats, natural hazards, or technical malfunctions. An essential requirement for event detection systems is the long lifetime of battery-powered sensor nodes. This paper introduces a new method for prolonging the wireless sensor network’s lifetime by reducing data transmissions between neighboring sensor nodes that cooperate in event detection. The proposed method allows sensor nodes to decide whether they need to exchange sensor readings for correctly detecting events. The sensor node takes into account the detection algorithm and verifies whether its current sensor readings can impact the event detection performed by another node. The data are transmitted only when they are found to be necessary for event detection. The proposed method was implemented in a wireless sensor network to detect the instability of cargo boxes during transportation. Experimental evaluation confirmed that the proposed method significantly extends the network lifetime and ensures the accurate detection of events. It was also shown that the introduced method is more effective in reducing data transmissions than the state-of-the-art event-triggered transmission and dual prediction algorithms.

High-level surveillance event detection

2017 ◽  
Vol 01 (01) ◽  
pp. 1630007
Author(s):  
Fabio Persia ◽  
Daniela D’Auria
Keyword(s):  
Video Surveillance ◽  
Event Detection ◽  
Terrorist Attacks ◽  
Surveillance Systems ◽  
Detection Systems ◽  
Whole Process ◽  
Video Frames ◽  
The World ◽  
Public Areas ◽  
High Level

Security has been raised at major public buildings in the most famous and crowded cities all over the world following the terrorist attacks of the last years, the latest one at the Promenade des Anglais in Nice. For that reason, video surveillance systems have become more and more essential for detecting and hopefully even prevent dangerous events in public areas. In this work, we present an overview of the evolution of high-level surveillance event detection systems along with a prototype for anomaly detection in video surveillance context. The whole process is described, starting from the video frames captured by sensors/cameras till at the end some well-known reasoning algorithms for finding potentially dangerous activities are applied.

Using One Strain Gauge Bridge to Detect Gait Events for a Robotic Prosthesis

Robotica ◽  
2019 ◽  
Vol 37 (11) ◽  
pp. 1987-1997 ◽  
Author(s):  
Yanggang Feng ◽  
Qining Wang
Keyword(s):  
Carbon Fiber ◽  
Real Time ◽  
Strain Gauge ◽  
Event Detection ◽  
Stance Phase ◽  
Swing Phase ◽  
Detection Systems ◽  
Transition Modes ◽  
Robotic Prosthesis ◽  
Transtibial Amputees

SummaryFor a real-time robotic prosthetic control, gait event detection plays an important role. In this paper, one novel sensor was proposed to realize gait event detection. The sensor includes one strain gauge bridge, which can reflect the entire deformation of carbon-fiber footplate on a robotic prosthesis. Three unilateral transtibial amputees participated in the experiments. Experimental results show that using the proposed sensor method, gait event detection (stance phase and swing phase) accuracy is approximately 100%. Based on the detected gait events, three locomotion modes (sit, stand, and walk) and the corresponding transition modes could be determined. Difference between different gait event detection systems was further conducted.

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