Development of Qibla Direction Cane for Blind Using Interactive Voice Command

Asrin, Asmianti; Hapsari, Gita Indah; Mutiara, Giva Andriana

doi:10.1109/icoict.2018.8528769

Cited by 8 publications

(5 citation statements)

References 2 publications

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“…Table 1 showed that the indoor angle differences was smaller than the outdoors output at all locations except for the hockey turf and the mosque. This finding is concurrent with a study done by Lubis et al [4] where the angle difference was from 2 to 7 degrees, while Asrin et al [6] reported the deviation between 5 to 9 degrees of qiblat direction in his study. The probable justification is that the flatness and sturdy surface would stabilize the sensor's reading process thus smaller angle difference.…”

Section: Prototype Position Accuracysupporting

confidence: 90%

“…The goal of this study of walking aid prototype design and determinant of qibla direction is to extend navigational aids that employ sound recognition and determinant of qibla direction that are simple and effective to use. In addition, Asrin et al [6] developed Qibla Direction Cane for Blind using interactive voice command. This gadget enhances the function of the cane as a tool for determining the direction of the qibla using voice commands.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of Qiblat Finder Assisted Device for Visual and Hearing-Impaired Person

Mohd Fauzi,

Nasir,

Rashid

et al. 2023

MJEr

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For the visual and hearing-impaired person, finding intended direction would be a challenging task due to their inability to sense effectively with their eyes and ears. This study aims to develop a prototype development of a smart qiblat finder to help disabled people finding direction anywhere independently. This smart qiblat finder are developed by using Arduino UNO as microcontroller, compass sensor and Global Positioning System (GPS). To determine the qibla direction, latitude and longitude data form by GPS module while the compass module used to show the qibla direction. As for the positioning of the qibla, the prototype can detect qibla at range 291° until 293° angle to match the place of data collection. Once detected, indicators (buzzer, vibration motor and LEDs) will alert the user with continuous sound, vibrations and lighting sequences. The prototype was tested indoor and outdoor at few locations in university campus and Seksyen 7 Shah Alam Mosque. The result showed high accuracy (99.3% to 100%) in detecting the direction of qibla and successfully alerted the user through buzzer sound and vibration and LED.

show abstract

Section: Prototype Position Accuracysupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Development of Qiblat Finder Assisted Device for Visual and Hearing-Impaired Person

Mohd Fauzi,

Nasir,

Rashid

et al. 2023

MJEr

View full text Add to dashboard Cite

show abstract

“…[93], [94], [107], [121], [150]- [161] [52], [53], [56], [61], [65], [72] 2. Braille interfaces and devices - [145], [162]-[165] -…”

Section: Type Of Assistive Technology (At)mentioning

confidence: 99%

“…As a recommendation, the authors of the studies that used ultrasonic sensors mentioned that the white canes or smart sticks should have an angle between 15°to 45°regarding the floor to get better results for obstacle and pothole recognition. In general terms, sensor-based walking assistants are in their majority white or smart canes with ultrasonic or infrared sensors and GPS or RFID support that have been built with Arduino boards or in a few cases with Raspberry Pi [143], [145], [147], [148].…”

Section: Educational Devices and Materialsmentioning

confidence: 99%

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Ariza

Pearce

2022

IEEE Access

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Disabled People deal with a series of barriers that limit their inclusion, empowerment, wellbeing, and role in society with a special emphasis in low and medium-income countries. One of these barriers is concerning the accessibility and affordability of assistive technologies (ATs) that help to enhance the quality of life of these persons. In this context, this systematic literature review (SLR) analyzes and describes how free and open-source hardware (OSHW) and open software (OSS) are employed in the design, development, and deployment of low-cost ATs. In the SLR process, different ATs were analyzed for disabilities such as visual, mobility, upper body, prostheses, hearing & speaking, daily living, and participation in society. The ATs were designed with diverse OSHW and OSS technologies such as Arduino, Raspberry Pi, NVidia Jeston, OpenCV, YOLO, MobileNet, EEG and EMG signal conditioning devices, actuators, and sensors such as ultrasonic, LiDar, or flex. 809 studies were collected and analyzed from the database Web of Science, GitHub, and the specialized journals in OSHW HardwareX and the Journal of Open Hardware during the years 2013-2022. In the first part of the SLR, the bibliometric trends and topic clusters regarding the selected studies are described. Secondly, the ATs identified with open source technologies, e.g., sensor-based or computer vision-based, are described along with a complete state-ofart about these based on each disability recognized. Finally, the issues and challenges to this approach are explored including technical factors, documentation, government policies, and the inclusion of disabled people in open source co-creation. The purpose of this study is to inform practitioners, designers, or stakeholders about low-cost (frugal) ATs with OSHW and OSS, and thus promote their development, accessibility, and affordability, contributing to benefit the community of disabled people. INDEX TERMS Assistive technologies, disabled people, persons with disabilities, adaptive aids, open hardware, open-source hardware, open-source software, systematic literature review.

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“…Previously, our team researchers have been made some research related to smart cane as a smart tool for the visually impaired. Starting with the visually impaired's cane which can be determined the location of the visually impaired based-on GPS [16] and also can determine the direction of qibla using an interactive voice command based on Raspberry Pi [17]. The limitation of our previous research is there is no function that can support the social life of visually impaired.…”

Section: Introductionmentioning

confidence: 95%

Face recognition smart cane using haar-like features and eigenfaces

Hapsari¹,

Mutiara²,

Tarigan³

2019

TELKOMNIKA

Self Cite

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Visually impaired has the limitation in interacting with another human. They usually use the sense of hearing and touching their face to recognize human. Face recognition is a technology that can be used to solve this problem. This paper develops a smart cane function by integrated face recognition feature on the cane using Haar-Like features and Eigenfaces. This paper proposed a portable, real time, and wearable product. Raspberry Pi supports portability that affects the delay and computing speed of face recognition algorithms. Utilization of Raspi camera on the eyes glasses is for wearable purposes. Voice output provides information on whether the face is caught on camera or not. This prototype works well during the face detection and recognition process. It needs 3 seconds for one-face recognized in range 0.25 until 1.5 meters from the camera, until the sound and information are generated. It needs is me 5 second for two faces recognized and 10 seconds for 3 faces recognized by a system in the same range between face and the camera. The accuracy reaches 91.67% for the upright position face but for other position the accuracy is only 18% until 32%.

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Development of Qibla Direction Cane for Blind Using Interactive Voice Command

Cited by 8 publications

References 2 publications

Development of Qiblat Finder Assisted Device for Visual and Hearing-Impaired Person

Development of Qiblat Finder Assisted Device for Visual and Hearing-Impaired Person

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Face recognition smart cane using haar-like features and eigenfaces

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