An Android-based Portable Smart Cane for Visually Impaired People

Khan, M. Adil; Nisar, Kashif; Nisar, Sana; Chowdhry, BS; Lodhi, Ehtisham; Khan, Jawad Ahmad; Haque, Muhammad Reazul

doi:10.1109/aict52784.2021.9620268

Cited by 7 publications

(5 citation statements)

References 15 publications

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“…Meanwhile, user-friendly features, such as tactile markings or braille labels on the thermometer, allow individuals proficient in braille to interpret temperatures through touch conveniently. Following this way, Khan et al [37] placed the GY-906 infrared thermometer on the top of a portable white stick to monitor the body temperature, and those abnormalities can be wirelessly communicated through a Bluetooth transceiver, then presented by voice for notifications.…”

Section: Body Temperature Measurementmentioning

confidence: 99%

An AIoT-Based Assistance System for Visually Impaired People

Li,

Xie,

Chen

et al. 2023

Electronics

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In this work, an assistance system based on the Artificial Intelligence of Things (AIoT) framework was designed and implemented to provide convenience for visually impaired people. This system aims to be low-cost and multi-functional with object detection, obstacle distance measurement, and text recognition achieved by wearable smart glasses, heart rate detection, fall detection, body temperature measurement, and humidity-temperature monitoring offered by an intelligent walking stick. The total hardware cost is approximately $66.8, as diverse low-cost sensors and modules are embedded. Meanwhile, a voice assistant is adopted, which helps to convey detection results to users. As for the performance evaluation, the accuracies of object detection and text recognition in the wearable smart glasses experiments are 92.16% and 99.91%, respectively, and the maximum deviation rate compared to the mobile app on obstacle distance measurement is 6.32%. In addition, the intelligent walking stick experiments indicate that the maximum deviation rates compared to the commercial devices on heart rate detection, body temperature measurement, and humidity-temperature monitoring are 3.52%, 0.19%, and 3.13%, respectively, and the fall detection accuracy is 87.33%. Such results demonstrate that the proposed assistance system yields reliable performances similar to commercial devices and is impressive when considering the total cost as a primary concern. Consequently, it satisfies the fundamental requirements of daily life, benefiting the safety and well-being of visually impaired people.

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Section: Body Temperature Measurementmentioning

confidence: 99%

An AIoT-Based Assistance System for Visually Impaired People

Li,

Xie,

Chen

et al. 2023

Electronics

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“…These approach-based solutions include voice generators and synthesizers, braille output terminals and screen magnifiers [18], [19].…”

Section: Computer Accessmentioning

confidence: 99%

“…In [1]- [12] and [18] attempts have been made to integrate proximity sensors like ultrasonic and PIR sensor along with other sensors such as water sensor and infrared sensor in white cane or walking sticks. Actuators like buzzers or sound modules have been used to convey the information obtained regarding the environment to the blind user.…”

Section: Information Transmissionmentioning

confidence: 99%

Smart Cap: A Sensor Based Low-Priced Assistant for the Blind and Visually Impaired People

Chakraborty¹

2022

Preprint

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“…The system is highly costly Smart Cane [18] Buzzer, ultrasonic, Arduino nano, LED, Bluetooth (HC-06), DC jack, mobile 6,000…”

Section: 000mentioning

confidence: 99%

“…The system is highly costly and has limited range of operation Smart Cap [25] Cap, earphone, microphone, speaker, raspberry pi4, power bank, webcam 2 that techniques proposed in [1], [12], [14], [17], [18] and [25] are considerably expensive to be implemented in large scale. In particular, the techniques proposed in [4] and [15] are claimed to be less expensive in comparison to other alternatives.…”

Section: 000mentioning

confidence: 99%