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10.3390/s20185202 http://scihub22266oqcxt.onion/10.3390/s20185202 32932585!7571123!32932585     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sensors+(Basel) 2020 ; 20 (18): ä Nephropedia Template TP {{tp|p=32932585|t=2020. Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video |pdf=|usr=}}{{32932585}} gab.com Text Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video JO: Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32932585 #FOAvip The current COVID-19 pandemic is having a major impact on our daily lives. Social distancing is one of the measures that has been implemented with the aim of slowing the spread of the disease, but it is difficult for blind people to comply with this. In this paper, we present a system that helps blind people to maintain physical distance to other persons using a combination of RGB and depth cameras. We use a real-time semantic segmentation algorithm on the RGB camera to detect where persons are and use the depth camera to assess the distance to them; then, we provide audio feedback through bone-conducting headphones if a person is closer than 1.5 m. Our system warns the user only if persons are nearby but does not react to non-person objects such as walls, trees or doors; thus, it is not intrusive, and it is possible to use it in combination with other assistive devices. We have tested our prototype system on one blind and four blindfolded persons, and found that the system is precise, easy to use, and amounts to low cognitive load. Twit Text FOAVip Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video ????Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32932585 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32932585 #FOAvip English Wikipedia <ref>{{Cite pmid|32932585}}</ref> Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video #MMPMID32932585 Martinez M; Yang K; Constantinescu A; Stiefelhagen R Sensors (Basel) 2020[Sep]; 20 (18): ä PMID32932585show ga The current COVID-19 pandemic is having a major impact on our daily lives. Social distancing is one of the measures that has been implemented with the aim of slowing the spread of the disease, but it is difficult for blind people to comply with this. In this paper, we present a system that helps blind people to maintain physical distance to other persons using a combination of RGB and depth cameras. We use a real-time semantic segmentation algorithm on the RGB camera to detect where persons are and use the depth camera to assess the distance to them; then, we provide audio feedback through bone-conducting headphones if a person is closer than 1.5 m. Our system warns the user only if persons are nearby but does not react to non-person objects such as walls, trees or doors; thus, it is not intrusive, and it is possible to use it in combination with other assistive devices. We have tested our prototype system on one blind and four blindfolded persons, and found that the system is precise, easy to use, and amounts to low cognitive load. |*Artificial Intelligence/statistics & numerical data[MESH] |*Betacoronavirus[MESH] |*Sensory Aids[MESH] |*Wearable Electronic Devices/statistics & numerical data[MESH] |Acoustics[MESH] |Adult[MESH] |Algorithms[MESH] |Blindness/psychology/*rehabilitation[MESH] |COVID-19/*prevention & control[MESH] |Color Vision[MESH] |Computer Systems/statistics & numerical data[MESH] |Coronavirus Infections/epidemiology/*prevention & control[MESH] |Equipment Design[MESH] |Female[MESH] |Germany/epidemiology[MESH] |Humans[MESH] |Image Processing, Computer-Assisted/statistics & numerical data[MESH] |Male[MESH] |Pandemics/*prevention & control[MESH] |Physical Distancing[MESH] |Pneumonia, Viral/epidemiology/*prevention & control[MESH] |Robotics[MESH] |SARS-CoV-2[MESH] |Semantics[MESH] |Smart Glasses/statistics & numerical data[MESH]Helping the Blind to Get through COVID-19: Social Distancing Assistant(epmc).pdf DeepDyve Pubget Overpricing