Smart real time wearable navigation support system for BVIP

In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface t...
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Autor*in:	Yassine Bouteraa [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Navigation aid Blind and visually impaired people Obstacles detection, sensors data fusion Fuzzy classifier Assistive technology Wearable devices

Übergeordnetes Werk:	In: Alexandria Engineering Journal - Elsevier, 2016, 62(2023), Seite 223-235
Übergeordnetes Werk:	volume:62 ; year:2023 ; pages:223-235

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.aej.2022.06.060

Katalog-ID:	DOAJ081514816

Internformat


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520			\|a In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution.
650		4	\|a Navigation aid
650		4	\|a Blind and visually impaired people
650		4	\|a Obstacles detection, sensors data fusion
650		4	\|a Fuzzy classifier
650		4	\|a Assistive technology
650		4	\|a Wearable devices
653		0	\|a Engineering (General). Civil engineering (General)
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publishDate	2023
allfields	10.1016/j.aej.2022.06.060 doi (DE-627)DOAJ081514816 (DE-599)DOAJ763eb9c144cf4b4aa240a3edeb80378b DE-627 ger DE-627 rakwb eng TA1-2040 Yassine Bouteraa verfasserin aut Smart real time wearable navigation support system for BVIP 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution. Navigation aid Blind and visually impaired people Obstacles detection, sensors data fusion Fuzzy classifier Assistive technology Wearable devices Engineering (General). Civil engineering (General) In Alexandria Engineering Journal Elsevier, 2016 62(2023), Seite 223-235 (DE-627)669887609 (DE-600)2631413-7 20902670 nnns volume:62 year:2023 pages:223-235 https://doi.org/10.1016/j.aej.2022.06.060 kostenfrei https://doaj.org/article/763eb9c144cf4b4aa240a3edeb80378b kostenfrei http://www.sciencedirect.com/science/article/pii/S1110016822004434 kostenfrei https://doaj.org/toc/1110-0168 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 62 2023 223-235
spelling	10.1016/j.aej.2022.06.060 doi (DE-627)DOAJ081514816 (DE-599)DOAJ763eb9c144cf4b4aa240a3edeb80378b DE-627 ger DE-627 rakwb eng TA1-2040 Yassine Bouteraa verfasserin aut Smart real time wearable navigation support system for BVIP 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution. Navigation aid Blind and visually impaired people Obstacles detection, sensors data fusion Fuzzy classifier Assistive technology Wearable devices Engineering (General). Civil engineering (General) In Alexandria Engineering Journal Elsevier, 2016 62(2023), Seite 223-235 (DE-627)669887609 (DE-600)2631413-7 20902670 nnns volume:62 year:2023 pages:223-235 https://doi.org/10.1016/j.aej.2022.06.060 kostenfrei https://doaj.org/article/763eb9c144cf4b4aa240a3edeb80378b kostenfrei http://www.sciencedirect.com/science/article/pii/S1110016822004434 kostenfrei https://doaj.org/toc/1110-0168 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 62 2023 223-235
allfields_unstemmed	10.1016/j.aej.2022.06.060 doi (DE-627)DOAJ081514816 (DE-599)DOAJ763eb9c144cf4b4aa240a3edeb80378b DE-627 ger DE-627 rakwb eng TA1-2040 Yassine Bouteraa verfasserin aut Smart real time wearable navigation support system for BVIP 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution. Navigation aid Blind and visually impaired people Obstacles detection, sensors data fusion Fuzzy classifier Assistive technology Wearable devices Engineering (General). Civil engineering (General) In Alexandria Engineering Journal Elsevier, 2016 62(2023), Seite 223-235 (DE-627)669887609 (DE-600)2631413-7 20902670 nnns volume:62 year:2023 pages:223-235 https://doi.org/10.1016/j.aej.2022.06.060 kostenfrei https://doaj.org/article/763eb9c144cf4b4aa240a3edeb80378b kostenfrei http://www.sciencedirect.com/science/article/pii/S1110016822004434 kostenfrei https://doaj.org/toc/1110-0168 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 62 2023 223-235
allfieldsGer	10.1016/j.aej.2022.06.060 doi (DE-627)DOAJ081514816 (DE-599)DOAJ763eb9c144cf4b4aa240a3edeb80378b DE-627 ger DE-627 rakwb eng TA1-2040 Yassine Bouteraa verfasserin aut Smart real time wearable navigation support system for BVIP 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution. Navigation aid Blind and visually impaired people Obstacles detection, sensors data fusion Fuzzy classifier Assistive technology Wearable devices Engineering (General). Civil engineering (General) In Alexandria Engineering Journal Elsevier, 2016 62(2023), Seite 223-235 (DE-627)669887609 (DE-600)2631413-7 20902670 nnns volume:62 year:2023 pages:223-235 https://doi.org/10.1016/j.aej.2022.06.060 kostenfrei https://doaj.org/article/763eb9c144cf4b4aa240a3edeb80378b kostenfrei http://www.sciencedirect.com/science/article/pii/S1110016822004434 kostenfrei https://doaj.org/toc/1110-0168 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 62 2023 223-235
allfieldsSound	10.1016/j.aej.2022.06.060 doi (DE-627)DOAJ081514816 (DE-599)DOAJ763eb9c144cf4b4aa240a3edeb80378b DE-627 ger DE-627 rakwb eng TA1-2040 Yassine Bouteraa verfasserin aut Smart real time wearable navigation support system for BVIP 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution. Navigation aid Blind and visually impaired people Obstacles detection, sensors data fusion Fuzzy classifier Assistive technology Wearable devices Engineering (General). Civil engineering (General) In Alexandria Engineering Journal Elsevier, 2016 62(2023), Seite 223-235 (DE-627)669887609 (DE-600)2631413-7 20902670 nnns volume:62 year:2023 pages:223-235 https://doi.org/10.1016/j.aej.2022.06.060 kostenfrei https://doaj.org/article/763eb9c144cf4b4aa240a3edeb80378b kostenfrei http://www.sciencedirect.com/science/article/pii/S1110016822004434 kostenfrei https://doaj.org/toc/1110-0168 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 62 2023 223-235
language	English
source	In Alexandria Engineering Journal 62(2023), Seite 223-235 volume:62 year:2023 pages:223-235
sourceStr	In Alexandria Engineering Journal 62(2023), Seite 223-235 volume:62 year:2023 pages:223-235
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Navigation aid Blind and visually impaired people Obstacles detection, sensors data fusion Fuzzy classifier Assistive technology Wearable devices Engineering (General). Civil engineering (General)
isfreeaccess_bool	true
container_title	Alexandria Engineering Journal
authorswithroles_txt_mv	Yassine Bouteraa @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	669887609
id	DOAJ081514816
language_de	englisch
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callnumber-first	T - Technology
author	Yassine Bouteraa
spellingShingle	Yassine Bouteraa misc TA1-2040 misc Navigation aid misc Blind and visually impaired people misc Obstacles detection, sensors data fusion misc Fuzzy classifier misc Assistive technology misc Wearable devices misc Engineering (General). Civil engineering (General) Smart real time wearable navigation support system for BVIP
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topic_title	TA1-2040 Smart real time wearable navigation support system for BVIP Navigation aid Blind and visually impaired people Obstacles detection, sensors data fusion Fuzzy classifier Assistive technology Wearable devices
topic	misc TA1-2040 misc Navigation aid misc Blind and visually impaired people misc Obstacles detection, sensors data fusion misc Fuzzy classifier misc Assistive technology misc Wearable devices misc Engineering (General). Civil engineering (General)
topic_unstemmed	misc TA1-2040 misc Navigation aid misc Blind and visually impaired people misc Obstacles detection, sensors data fusion misc Fuzzy classifier misc Assistive technology misc Wearable devices misc Engineering (General). Civil engineering (General)
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title	Smart real time wearable navigation support system for BVIP
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title_full	Smart real time wearable navigation support system for BVIP
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title_sort	smart real time wearable navigation support system for bvip
callnumber	TA1-2040
title_auth	Smart real time wearable navigation support system for BVIP
abstract	In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution.
abstractGer	In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution.
abstract_unstemmed	In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution.
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title_short	Smart real time wearable navigation support system for BVIP
url	https://doi.org/10.1016/j.aej.2022.06.060 https://doaj.org/article/763eb9c144cf4b4aa240a3edeb80378b http://www.sciencedirect.com/science/article/pii/S1110016822004434 https://doaj.org/toc/1110-0168
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up_date	2024-07-03T20:23:00.727Z
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