2019 International Conference on Communication and Signal Processing (ICCSP) 2019
DOI: 10.1109/iccsp.2019.8698009
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Design and Implementation of the Smart Glove to Aid the Visually Impaired

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Cited by 15 publications
(3 citation statements)
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“…The RGB component helps to determine the type of the currency note. Sambhav et al [62] have established smart gloves for VIPs which help in performing their daily activities based on the (DNN) Deep Neural Network algorithm used for the tracking of objects. These gloves work in indoor environments and have five motors that provide guidance to the user in five different directions i.e.…”
Section: Assistive Devices For Performing Activities Of Daily Lifementioning
confidence: 99%
“…The RGB component helps to determine the type of the currency note. Sambhav et al [62] have established smart gloves for VIPs which help in performing their daily activities based on the (DNN) Deep Neural Network algorithm used for the tracking of objects. These gloves work in indoor environments and have five motors that provide guidance to the user in five different directions i.e.…”
Section: Assistive Devices For Performing Activities Of Daily Lifementioning
confidence: 99%
“…Potholes are identified by the infrared sensors and vibrates the aid to let the user know. GSM gathers the active location of the user [16,17]. Whenever user press panic button then emergency assistance request is made.…”
Section: Literature Surveymentioning
confidence: 99%
“…This glove will be helpful for the people with speech and hearing disability.The gestures shown by the people will be converted to text which will be displayed on an LCD screen,thus the communication barrier in the society will be bridged. Sambhav Jain et al [4] developed a smart glove which works on the concept of Deep Neural Network to guide the visually disabled.The floorplan of the house was pre programmed to the glove. The glove had vibration motors installed on it and it will guide the person to traverse within his house.…”
Section: Introductionmentioning
confidence: 99%