Erden, Fatih

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/7963
Name Variants
Erden, Fatih
Erden,F.
E.,Fatih
F., Erden
Fatih, Erden
E., Fatih
F.,Erden
Job Title
Doktor Öğretim Üyesi
Email Address
erdenfatih@gmail.com
Main Affiliation
Department of Electrical & Electronics Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
2
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

8

Articles

3

Views / Downloads

2/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

146

Scopus Citation Count

169

Patents

0

Projects

0

WoS Citations per Publication

18.25

Scopus Citations per Publication

21.13

Open Access Source

0

Supervised Theses

0

JournalCount
9th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 26-28, 2015 -- Bursa, TURKEY2
ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering -- 9th International Conference on Electrical and Electronics Engineering, ELECO 2015 -- 26 November 2015 through 28 November 2015 -- Bursa -- 1192022
Infrared Physics & Technology2
2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings -- 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 -- 7 December 2016 through 9 December 2016 -- Washington -- 1274451
IEEE Signal Processing Magazine1
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COAR Resource Type: text::journal::journal article

Scholarly Output Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    Article
    Citation - WoS: 82
    Citation - Scopus: 104
    Sensors in Assisted Living a Survey of Signal and Image Processing Methods
    (Ieee-inst Electrical Electronics Engineers inc, 2016) Erden, Fatih; Velipasalar, Senem; Alkar, Ali Ziya; Cetin, A. Enis
    [No Abstract Available]
  • Thumbnail Image
    Article
    Citation - WoS: 17
    Citation - Scopus: 18
    Contact-Free Measurement of Respiratory Rate Using Infrared and Vibration Sensors
    (Elsevier Science Bv, 2015) Erden, Fatih; Alkar, Ali Ziya; Cetin, Ahmet Enis
    Respiratory rate is an essential parameter in many practical applications such as apnea detection, patient monitoring, and elderly people monitoring. In this paper, we describe a novel method and a contact-free multi-modal system which is capable of detecting human breathing activity. The multimodal system, which uses both differential pyro-electric infrared (PIR) and vibration sensors, can also estimate the respiratory rate. Vibration sensors pick up small vibrations due to the breathing activity. Similarly, PIR sensors pick up the thoracic movements. Sensor signals are sampled using a microprocessor board and analyzed on a laptop computer. Sensor signals are processed using wavelet analysis and empirical mode decomposition (EMD). Since breathing is almost periodic, a new multi-modal average magnitude difference function (AMDF) is used to detect the periodicity and the period in the processed signals. By fusing the data of two different types of sensors we achieve a more robust and reliable contact-free human breathing activity detection system compared to systems using only one specific type of sensors. (C) 2015 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Article
    Citation - WoS: 9
    Citation - Scopus: 22
    A Robust System for Counting People Using an Infrared Sensor and a Camera
    (Elsevier, 2015) Erden, Fatih; Alkar, Ali Ziya; Cetin, Ahmet Enis
    In this paper, a multi-modal solution to the people counting problem in a given area is described. The multi-modal system consists of a differential pyro-electric infrared (PIR) sensor and a camera. Faces in the surveillance area are detected by the camera with the aim of counting people using cascaded AdaBoost classifiers. Due to the imprecise results produced by the camera-only system, an additional differential PIR sensor is integrated to the camera. Two types of human motion: (i) entry to and exit from the surveillance area and (ii) ordinary activities in that area are distinguished by the PIR sensor using a Markovian decision algorithm. The wavelet transform of the continuous-time real-valued signal received from the PIR sensor circuit is used for feature extraction from the sensor signal. Wavelet parameters are then fed to a set of Markov models representing the two motion classes. The affiliation of a test signal is decided as the class of the model yielding higher probability. People counting results produced by the camera are then corrected by utilizing the additional information obtained from the PIR sensor signal analysis. With the proof of concept built, it is shown that the multi-modal system can reduce false alarms of the camera-only system and determines the number of people watching a TV set in a more robust manner. (c) 2015 Elsevier B.V. All rights reserved.