Smart Wearable Device for Blind and Elderly People

Kiruthika, V.; Krishna, G G Rama; Karthik, G.; Xavier, X. Bitto; Sankaran, Kris; Kavitha, B. C.

doi:10.1109/compe53109.2021.9752340

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Tayyaba 2022) examined the benefits, techniques used for data analysis, identifying problems, and defensive measures for each disease in the human body. In this study, Kiruthika, V., et al (2021) proposed a new methodology for wearable technology devices with multiple features that will assist both blind as well as elderly people in their daily lives. This device allows blind and elderly people to move around in any environment while also monitoring their health conditions.…”

Section: Introductionmentioning

confidence: 99%

Tracking of Blind Person's Movement by Utilizing Wearable IOT Devices

Peshattiwar,

Vigneshwaran,

et al. 2023

Recent Trends in Data Science and Its Applications

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The proposed system for tracking the movement of a blind person using wearable IoT devices appears to be a potentially useful and practical approach to assist individuals with visual impairments. The ability to communicate information about the surroundings via wireless technology and headphones could greatly enhance the mobility, independence, and safety of blind individuals. The incorporation of suitable connectivity methodologies to avoid interference between devices in crowded spaces is also an important consideration, as this could impact the accuracy and reliability of the system. It would be interesting to know more about the specific methodologies used and how they were tested and optimized, as this could provide valuable insights for future projects and developments. The evaluation of the device's effectiveness through experiments and statistical analysis is also a positive aspect of the paper, as this provides quantitative data on the functionality and performance of the system. However, it would be helpful to have more details on the experimental methodology and conditions, as well as the statistical analysis techniques used, in order to better understand the results.

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Section: Introductionmentioning

confidence: 99%

Tracking of Blind Person's Movement by Utilizing Wearable IOT Devices

Peshattiwar,

Vigneshwaran,

et al. 2023

Recent Trends in Data Science and Its Applications

View full text Add to dashboard Cite

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An architectural framework of elderly healthcare monitoring and tracking through wearable sensor technologies

Alsadoon,

Al-Naymat,

Jerew

2024

Multimed Tools Appl

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The growing elderly population in smart home environments necessitates increased remote medical support and frequent doctor visits. To address this need, wearable sensor technology plays a crucial role in designing effective healthcare systems for the elderly, facilitating human–machine interaction. However, wearable technology has not been implemented accurately in monitoring various vital healthcare parameters of elders because of inaccurate monitoring. In addition, healthcare providers encounter issues regarding the acceptability of healthcare parameter monitoring and secure data communication within the context of elderly care in smart home environments. Therefore, this research is dedicated to investigating the accuracy of wearable sensors in monitoring healthcare parameters and ensuring secure data transmission. An architectural framework is introduced, outlining the critical components of a comprehensive system, including Sensing, Data storage, and Data communication (SDD) for the monitoring process. These vital components highlight the system's functionality and introduce elements for monitoring and tracking various healthcare parameters through wearable sensors. The collected data is subsequently communicated to healthcare providers to enhance the well-being of elderly individuals. The SDD taxonomy guides the implementation of wearable sensor technology through environmental and body sensors. The proposed system demonstrates the accuracy enhancement of healthcare parameter monitoring and tracking through smart sensors. This study evaluates state-of-the-art articles on monitoring and tracking healthcare parameters through wearable sensors. In conclusion, this study underscores the importance of delineating the SSD taxonomy by classifying the system's major components, contributing to the analysis and resolution of existing challenges. It emphasizes the efficiency of remote monitoring techniques in enhancing healthcare services for the elderly in smart home environments.

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Smart Wearable Device for Blind and Elderly People

Cited by 2 publications

References 6 publications

Tracking of Blind Person's Movement by Utilizing Wearable IOT Devices

Tracking of Blind Person's Movement by Utilizing Wearable IOT Devices

An architectural framework of elderly healthcare monitoring and tracking through wearable sensor technologies

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