An FPGA based tracking implementation for Parkinson's patients

Conti, Giuseppe and Quintana González, Marcos and Malagón Marzo, Pedro José and Jiménez Bermejo, David (2020). An FPGA based tracking implementation for Parkinson's patients. "Sensors", v. 20 (n. 11); pp. 1-24. ISSN 1424-8220. https://doi.org/10.3390/s20113189.

Description

Title: An FPGA based tracking implementation for Parkinson's patients
Author/s:
  • Conti, Giuseppe
  • Quintana González, Marcos
  • Malagón Marzo, Pedro José
  • Jiménez Bermejo, David
Item Type: Article
Título de Revista/Publicación: Sensors
Date: June 2020
ISSN: 1424-8220
Volume: 20
Subjects:
Freetext Keywords: image processing; image analysis; human detection; patient privacy; tracking; GMM; background subtraction; FPGA; MoG
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper presents a study on the optimization of the tracking system designed for patients with Parkinson's disease tested at a day hospital center. The work performed significantly improves the efficiency of the computer vision based system in terms of energy consumption and hardware requirements. More specifically, it optimizes the performances of the background subtraction by segmenting every frame previously characterized by a Gaussian mixture model (GMM). This module is the most demanding part in terms of computation resources, and therefore, this paper proposes a method for its implementation by means of a low-cost development board based on Zynq XC7Z020 SoC (system on chip). The platform used is the ZedBoard, which combines an ARM Processor unit and a FPGA. It achieves real-time performance and low power consumption while performing the target request accurately. The results and achievements of this study, validated in real medical settings, are discussed and analyzed within.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020690090ICT4LifeARTICA TELEMEDICINA SLICT services for Life Improvement For the Elderly

More information

Item ID: 65590
DC Identifier: http://oa.upm.es/65590/
OAI Identifier: oai:oa.upm.es:65590
DOI: 10.3390/s20113189
Official URL: https://www.mdpi.com/1424-8220/20/11/3189
Deposited by: Memoria Investigacion
Deposited on: 06 Dec 2020 11:19
Last Modified: 06 Dec 2020 11:19
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