An IoT- Enabled Augmented Reality Framework for Plant Disease Detection

Ponnusamy, Vijayakumar; Natarajan, Sowmya; Ramasamy, Nandakumar; Clement, Joseph; Rajalingam, Prithiviraj; Makino, Mitsunori

doi:10.18280/ria.350301

Cited by 16 publications

(2 citation statements)

References 20 publications

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“…With the increasing popularity of home-based fitness routines, the proposed system can find application in guiding individuals through exercise regimens in the comfort of their homes [47]. It eliminates the need for expensive gym memberships and personal trainers while ensuring that users perform exercises correctly.…”

Section: Home-based Fitnessmentioning

confidence: 99%

Development of Deep Learning Enabled Augmented Reality Framework for Monitoring the Physical Quality Training of Future Trainers-Teachers

Tileubay,

Yerekeshova,

Baiganova

et al. 2024

IJACSA

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The fusion of augmented reality (AR) and deep learning technologies has ushered in a transformative era in the realm of real-time physical activity monitoring. This research paper introduces a system that harnesses the capabilities of PoseNet-based skeletal keypoint extraction and deep neural networks to achieve unparalleled accuracy and real-time functionality in the identification and classification of a wide spectrum of physical activities. With an impressive accuracy rate of 98% within 100 training epochs, the system proves its mettle in precise activity recognition, making it invaluable in domains such as fitness training, physical education, sports coaching, and home-based fitness. The system's real-time feedback mechanism, bolstered by AR technology, not only enhances user engagement but also motivates users to optimize their exercise routines. This paper not only elucidates the system's architecture and functionality but also highlights its potential applications across diverse fields. Furthermore, it delineates the trajectory of future research avenues, including the development of advanced feedback mechanisms, exploration of multi-modal sensing techniques, personalization for users, assessment of long-term impacts, and endeavors to ensure accessibility, inclusivity, and data privacy. In essence, this research sets the stage for the evolution of real-time physical activity monitoring, offering a compelling framework to improve fitness, physical education, and athletic training while promoting healthier lifestyles and the overall well-being of individuals worldwide.

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Section: Home-based Fitnessmentioning

confidence: 99%

Development of Deep Learning Enabled Augmented Reality Framework for Monitoring the Physical Quality Training of Future Trainers-Teachers

Tileubay,

Yerekeshova,

Baiganova

et al. 2024

IJACSA

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“…Diverse agricultural activities like livestock farming, and aquaculture is also diving into Metaverse for getting a better outcome [123]. Metaverse has also used in plant disease detection where Ponnusamy et al developed a lowcost augmented reality system for on-field analysis of plant diseases detection [124].…”

Section: E Agriculturementioning

confidence: 99%

Toward Trustworthy Metaverse: Advancements and Challenges

Jim,

Hosain,

Mridha

et al. 2023

IEEE Access

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The Metaverse, a transformative digital realm, holds immense promise for reshaping industries and human interactions while potentially addressing global challenges and democratizing opportunities. However, it also introduces a spectrum of complexities that demand careful navigation. To establish trustworthiness within the Metaverse ecosystem, gaining a deep understanding of its applications, challenges, and existing solutions is imperative. In this comprehensive survey, we first delve into Metaverse applications, drawing insights from existing literature. Subsequently, we explore the diverse challenges the Metaverse presents, analyzing them through the lens of existing research. We then scrutinize the overall trustworthiness of the Metaverse environment and investigate existing solutions to previously identified challenges through a thorough review and analysis of pertinent literature. Lastly, we discussed future research directions aimed at fostering a trustworthy Metaverse environment. This comprehensive review can provide an overview of the Metaverse, its application domains, challenges, existing solutions and research directions for many multidisciplinary studies.

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