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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Elektronika dan Telekomunikasi Jurnal ULTIMA Computing
Aminuddin Rizal
Universitas Multimedia Nusantara
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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An SoC-Based System for Real-time Contactless Measurement of Human Vital Signs and Soft Biometrics Aminuddin Rizal; Kuan-Ting Chiang; Jia-Wei Lin; Yuan-Hsiang Lin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1940

Abstract

Computer vision (CV) plays big role in our current society's life style. The advancement of CV technology brings the capability to sense human vital sign and soft biometric parameters in contactless way. In this work, we design and implement the contactless human vital sign parameters measurement including pulse rate (PR) and respiration rate (RR) and also for assessment of human soft biometric parameters i.e. age, gender, skin color type, and body height. Our designed system is based on system on chip (SoC) device which run both FPGA and hard processor while provides real-time operation and small form factor. Experimental results shows our device performance has mean absolute error (MAE) 2.85 and 1.46 bpm for PR and RR respectively compared to clinical apparatus. While, for soft biometric parameters measurement we got unsatisfied results on age and gender estimation with accuracy of 58% and 74% respectively. However, for skin color type and body height measurement we reach high accuracy with 98 % and 2.28 cm respectively on both parameters.
Design and Realization of Band Pass Filter in K-Band Frequency for Short Range Radar Application Arie Setiawan; Taufiqqurrachman Taufiqqurrachman; Adam Kusumah Firdaus; Fajri Darwis; Aminuddin Rizal; Winy Desvasari; Hana Arisesa; Sulistyaningsih Sulistyaningsih; Prasetyo Putranto; Nasrullah Armi; Dharu Arseno
Jurnal Elektronika dan Telekomunikasi Vol 21, No 1 (2021)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v21.1-7

Abstract

Short range radar (SRR) uses the K-band frequency range in its application. The radar requires high-resolution, so the applied frequency is 1 GHz wide. The filter is one of the devices used to ensure only a predetermined frequency is received by the radar system. This device must have a wide operating bandwidth to meet the specification of the radar. In this paper, a band pass filter (BPF) is proposed. It is designed and fabricated on RO4003C substrate using the substrate integrated waveguide (SIW) technique, results in a wide bandwidth at the K-band frequency that centered at 24 GHz. Besides the bandwidth analysis, the analysis of the insertion loss, the return loss, and the dimension are also reported. The simulated results of the bandpass filter are: VSWR of 1.0308, a return loss of -36.9344 dB, and an insertion loss of -0.6695 dB. The measurement results show that the design obtains a VSWR of 2.067, a return loss of -8.136 dB, and an insertion loss of -4.316  dB. While, it is obtained that the bandwidth is reduced by about 50% compared with the simulation. The result differences between simulation and measurement are mainly due to the imperfect fabrication process.
Allergen Recognition in Food Ingredients with Computer Vision Elisa Belinda Johan; Aminuddin Rizal
Ultima Computing : Jurnal Sistem Komputer Vol 13 No 2 (2021): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v13i2.2051

Abstract

The process of recognition and classification of food is very important. It can be useful for consumers who are sensitive in choosing foods that they want to consume. Considering that some food ingredients are allergens that can cause allergies for some people. This paper aims to design and build an Android-based system to detect food ingredients that can facilitate consumers in getting information about all allergens contained in the. The application is created by implementing Optical Character Recognition (OCR) algorithm and using Boyer Moore algorithm to do the word matching (string matching). The experiments were performed with trial of OCR, Boyer Moore, light sources, and technical words (uncommon words). Our experiment shows more than 90% accuracy obtained with different scenario applied.
Co-Authors Adam Kusumah Firdaus Arie Setiawan Dharu Arseno Elisa Belinda Johan Fajri Darwis Hana Arisesa Jia-Wei Lin Kuan-Ting Chiang Nasrullah Armi Prasetyo Putranto Sulistyaningsih Sulistyaningsih Taufiqqurrachman Taufiqqurrachman Winy Desvasari Yuan-Hsiang Lin