scholarly journals Improved localisation and discrimination of heat emitting household objects with the artificial vision therapy system by integration with thermal sensor

2020 ◽  
Vol 104 (12) ◽  
pp. 1730-1734 ◽  
Author(s):  
Sandra R Montezuma ◽  
Susan Y Sun ◽  
Arup Roy ◽  
Avi Caspi ◽  
Jessy D Dorn ◽  
...  

AimTo demonstrate the potential clinically meaningful benefits of a thermal camera integrated with the Argus II, an artificial vision therapy system, for assisting Argus II users in localising and discriminating heat-emitting objects.MethodsSeven blind patients implanted with Argus II retinal prosthesis participated in the study. Two tasks were investigated: (1) localising up to three heat-emitting objects by indicating the location of the objects and (2) discriminating a specific heated object out of three presented on a table. Heat-emitting objects placed on a table included a toaster, a flat iron, an electric kettle, a heating pad and a mug of hot water. Subjects completed the two tasks using the unmodified Argus II system with a visible-light camera and the thermal camera-integrated Argus II.ResultsSubjects more accurately localised heated objects displayed on a table (p=0.011) and discriminated a specific type of object (p=0.005) presented with the thermal camera integrated with the Argus II versus the unmodified Argus II camera.ConclusionsThe thermal camera integrated with the artificial vision therapy system helps users to locate and differentiate heat-emitting objects more precisely than a visible light sensor. The integration of the thermal camera with the Argus II may have significant benefits in patients’ daily life.

2020 ◽  
Vol 17 (4) ◽  
pp. 045011
Author(s):  
Yingchen He ◽  
Susan Y Sun ◽  
Arup Roy ◽  
Avi Caspi ◽  
Sandra R Montezuma

Retina ◽  
2018 ◽  
pp. 1 ◽  
Author(s):  
Stanislao Rizzo ◽  
Pierre-Olivier Barale ◽  
Sarah Ayello-Scheer ◽  
Robert G. Devenyi ◽  
Marie-Noëlle Delyfer ◽  
...  

2014 ◽  
Vol 55 (12) ◽  
pp. 8259-8266 ◽  
Author(s):  
N. Sabbah ◽  
C. N. Authie ◽  
N. Sanda ◽  
S. Mohand-Said ◽  
J.-A. Sahel ◽  
...  

Author(s):  
Tejal Adep ◽  
Rutuja Nikam ◽  
Sayali Wanewe ◽  
Dr. Ketaki B. Naik

Blind people face the problem in daily life. They can't even walk without any aid. Many times they rely on others for help. Several technologies for the assistance of visually impaired people have been developed. Among the various technologies being utilized to assist the blind, Computer Vision-based solutions are emerging as one of the most promising options due to their affordability and accessibility. This paper proposes a system for visually impaired people. The proposed system aims to create a wearable visual aid for visually impaired people in which speech commands are accepted by the user. Its functionality addresses the identification of objects and signboards. This will help the visually impaired person to manage day-to-day activities and navigate through his/her surroundings. Raspberry Pi is used to implement artificial vision using python language on the Open CV platform.


PLoS Biology ◽  
2016 ◽  
Vol 14 (10) ◽  
pp. e1002569 ◽  
Author(s):  
E. Castaldi ◽  
G. M. Cicchini ◽  
L. Cinelli ◽  
L. Biagi ◽  
S. Rizzo ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document