Results 11 to 20 of about 6,627,236 (313)

Detection of In-Plane Movement in Electrically Actuated Microelectromechanical Systems Using a Scanning Electron Microscope

open access: yesMicromachines, 2023
The measurement of in-plane motion in microelectromechanical systems (MEMS) is a challenge for existing measurement techniques due to the small size of the moving devices and the low amplitude of motion. This paper studied the possibility of using images
Tarmo Nieminen   +3 more
doaj   +1 more source

PDMS Sponges with Embedded Carbon Nanotubes as Piezoresistive Sensors for Human Motion Detection

open access: yesNanomaterials, 2021
Porous piezoresistive sensors offer promising flexible sensing functionality, such as human joint motion detection and gesture identification. Herein, a facile fabrication method is developed using a microwave-based rapid porogen removal technique for ...
Blake Herren   +5 more
semanticscholar   +1 more source

Detecting Moving Vehicles from Satellite-Based Videos by Tracklet Feature Classification

open access: yesRemote Sensing, 2022
Satellite-based video enables potential vehicle monitoring and tracking for urban traffic management. However, due to the tiny size of moving vehicles and cluttered background, it is difficult to distinguish actual targets from random noise and pseudo ...
Renxi Chen   +2 more
doaj   +1 more source

Can Plants Sense Humans? Using Plants as Biosensors to Detect the Presence of Eurythmic Gestures

open access: yesSensors, 2023
This paper describes the preliminary results of measuring the impact of human body movements on plants. The scope of this project is to investigate if a plant perceives human activity in its vicinity.
Luis de la Cal   +2 more
doaj   +1 more source

Cholinergic feedback to bipolar cells contributes to motion detection in the mouse retina

open access: yesCell Reports, 2021
SUMMARY Retinal bipolar cells are second-order neurons that transmit basic features of the visual scene to postsynaptic partners. However, their contribution to motion detection has not been fully appreciated.
Chase B. Hellmer   +5 more
semanticscholar   +1 more source

Development of a mobile, cost-effective and easy to use inertial motion capture system for monitoring in rehabilitation applications

open access: yesCurrent Directions in Biomedical Engineering, 2021
Many people are familiar with the feeling of instability, pain, or subsidence in the knee joint after a knee injury. There are many different methods for examining the knee, such as the drawer test or the Lachman test [1], before and after surgery. While
Schlage Nana   +3 more
doaj   +1 more source

Real-Time Motion Detection Network Based on Single Linear Bottleneck and Pooling Compensation

open access: yesApplied Sciences, 2022
Motion (change) detection is a basic preprocessing step in video processing, which has many application scenarios. One challenge is that deep learning-based methods require high computation power to improve their accuracy.
Huayang Cheng, Yunchao Ding, Lu Yang
doaj   +1 more source

Ghost Detection and Removal Based on Two-Layer Background Model and Histogram Similarity

open access: yesSensors, 2020
Detecting and removing ghosts is an important challenge for moving object detection because ghosts will remain forever once formed, leading to the overall detection performance degradation. To deal with this issue, we first classified the ghosts into two
Yiping Xu, Hongbing Ji, Wenbo Zhang
doaj   +1 more source

Movement-in-a-Video Detection Scheme for Sign Language Gesture Recognition Using Neural Network

open access: yesApplied Sciences, 2022
Sign language aids in overcoming the communication barrier between hearing-impaired individuals and those with normal hearing. However, not all individuals with normal hearing are skilled at using sign language.
Angela C. Caliwag   +3 more
doaj   +1 more source

A study of human motion in computer vision systems based on a skeletal model [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2021
Methods of studying human motion in computer vision systems can be divided into two types. These are analysis in twodimensional and three-dimensional space. The former uses a single camera image and/ or multiple body sensors.
Sophia A. Kazakova   +5 more
doaj   +1 more source

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