An SoC Embedded System Implementation Using an Array Sensor

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) ◽

10.1109/fskd.2007.171 ◽

2007 ◽

Author(s):

Cheol-Hong Moon ◽

Young-Soo Roo ◽

and Hwa-Young Kim

Keyword(s):

Embedded System ◽

System Implementation ◽

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Fast image moving object segmentation based on block texture for embedded system implementation

2012 International Symposium on Intelligent Signal Processing and Communications Systems ◽

10.1109/ispacs.2012.6473570 ◽

2012 ◽

Author(s):

Shyue-Wen Yang ◽

Ming-Hwa Sheu ◽

Wen-Kai Tsai

Keyword(s):

Embedded System ◽

Object Segmentation ◽

Moving Object ◽

System Implementation ◽

Moving Object Segmentation

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Embedded System Implementation for an Object Detection Using Stereo Image

Intelligent Computing in Signal Processing and Pattern Recognition - Lecture Notes in Control and Information Sciences ◽

10.1007/11816515_24 ◽

2006 ◽

pp. 230-240

Author(s):

Cheol-Hong Moon ◽

Dong-Young Jang

Keyword(s):

Embedded System ◽

Object Detection ◽

Stereo Image ◽

System Implementation

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Embedded System Implementation of Sound Localization in Proximal Region

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1093/ietfec/e91-a.3.763 ◽

2008 ◽

Vol E91-A (3) ◽

pp. 763-771 ◽

Author(s):

N. IWANAGA ◽

T. MATSUMURA ◽

A. YOSHIDA ◽

W. KOBAYASHI ◽

T. ONOYE

Keyword(s):

Embedded System ◽

Sound Localization ◽

Proximal Region ◽

System Implementation

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Fast image foreground object segmentation based on block texture for embedded system implementation

Journal of the Chinese Institute of Engineers ◽

10.1080/02533839.2014.953292 ◽

2014 ◽

Vol 38 (2) ◽

pp. 238-246 ◽

Author(s):

Shyue-Wen Yang ◽

Ming-Hwa Sheu ◽

Wen-Kai Tsai

Keyword(s):

Embedded System ◽

Object Segmentation ◽

Foreground Object ◽

System Implementation

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Embedded System Implementation for an Object Detection Using Stereo Image

Intelligent Computing in Signal Processing and Pattern Recognition - Lecture Notes in Control and Information Sciences ◽

10.1007/978-3-540-37258-5_24 ◽

2006 ◽

pp. 230-240

Author(s):

Cheol-Hong Moon ◽

Dong-Young Jang

Keyword(s):

Embedded System ◽

Object Detection ◽

Stereo Image ◽

System Implementation

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Embedded system implementation of ultrasonic flaw detection algorithm based on support vector machine classification

2016 IEEE International Ultrasonics Symposium (IUS) ◽

10.1109/ultsym.2016.7728872 ◽

2016 ◽

Author(s):

Kushal Virupakshappa ◽

Erdal Oruklu

Keyword(s):

Support Vector Machine ◽

Embedded System ◽

Flaw Detection ◽

Detection Algorithm ◽

Support Vector ◽

System Implementation ◽

Ultrasonic Flaw Detection ◽

Support Vector Machine Classification ◽

Ultrasonic Flaw

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Embedded System Implementation of Tree Routing Structure for Ubiquitous Sensor Network

Journal of the Korea Academia-Industrial cooperation Society ◽

10.5762/kais.2011.12.10.4531 ◽

2011 ◽

Vol 12 (10) ◽

pp. 4531-4535 ◽

Author(s):

Hyoung-Keun Park ◽

Cheul-Hee Lee

Keyword(s):

Embedded System ◽

Sensor Network ◽

System Implementation ◽

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FPGA-Based Embedded System Implementation of Audio Signal Alignment

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) ◽

10.1109/ipdpsw.2019.00031 ◽

2019 ◽

Author(s):

Luca Stornaiuolo ◽

Massimo Perini ◽

Marco D. Santambrogio ◽

Donatella Sciuto

Keyword(s):

Embedded System ◽

Audio Signal ◽

System Implementation ◽

Signal Alignment

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Cooperative Detection Method for Distracted and Fatigued Driving Behaviors with Readily Embedded System Implementation

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3109745 ◽

2021 ◽

pp. 1-1

Author(s):

Junjie Wang ◽

Yangkun Wang ◽

Yi Dai ◽

Feng Zhang ◽

Xiaodong Yu

Keyword(s):

Embedded System ◽

Detection Method ◽

System Implementation ◽

Driving Behaviors ◽

Cooperative Detection

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General Concept of the EMG Controlled Bionic Hand

Science Technology and Innovation ◽

10.5604/01.3001.0014.1901 ◽

2020 ◽

Vol 8 (1) ◽

pp. 26-34

Author(s):

Adam Pieprzycki ◽

Daniel Król

Keyword(s):

Machine Learning ◽

Feature Extraction ◽

Control System ◽

Embedded System ◽

Real Time ◽

General Concept ◽

System Implementation ◽

The Real ◽

The article presents a general concept of a bionic hand control system using a multichannel EMG signal, being under development at present. The method of acquisition and processing of multi-channel EMG signal and feature extraction for machine learning were described. Moreover, the design of the control system implementation in the real-time embedded system was discussed.

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