Designing IoT based Posture Monitoring System

Ramalingam, Mritha; Puviarasi, R.; Shern, Quah Chia; Chinnavan, Elanchezhian

doi:10.1109/icict50816.2021.9358527

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Additionally, built-in device accelerometers can be used and integrated to monitor mobility via actigraphy, step counts, and time spent in different three-dimensional positions ( 221 – 223 ) 15 . Other wearable and environmental sensors are used to quantify activity levels ( 224 , 225 ), gait, balance, or movement quality ( 226 – 230 ), and posture ( 231 , 232 ), all of which might be applicable for a pain patient depending on their condition or at-home treatment or rehabilitation regimens ( 220 , 233 ).…”

Section: State-of-the-art In Pain Methodsmentioning

confidence: 99%

Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches

Berger

Baria

2022

Front. Pain Res.

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Pain research traverses many disciplines and methodologies. Yet, despite our understanding and field-wide acceptance of the multifactorial essence of pain as a sensory perception, emotional experience, and biopsychosocial condition, pain scientists and practitioners often remain siloed within their domain expertise and associated techniques. The context in which the field finds itself today—with increasing reliance on digital technologies, an on-going pandemic, and continued disparities in pain care—requires new collaborations and different approaches to measuring pain. Here, we review the state-of-the-art in human pain research, summarizing emerging practices and cutting-edge techniques across multiple methods and technologies. For each, we outline foreseeable technosocial considerations, reflecting on implications for standards of care, pain management, research, and societal impact. Through overviewing alternative data sources and varied ways of measuring pain and by reflecting on the concerns, limitations, and challenges facing the field, we hope to create critical dialogues, inspire more collaborations, and foster new ideas for future pain research methods.

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Section: State-of-the-art In Pain Methodsmentioning

confidence: 99%

Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches

Berger

Baria

2022

Front. Pain Res.

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Advanced interdisciplinary approaches for bad posture detection using computer vision and IoT

Sreevani,

Sathwik Reddy,

Nithin

et al. 2024

E3S Web of Conf.

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Addressing the widespread problem of poor posture and its far-reaching health implications, our innovative solution employs advanced interdisciplinary approaches and IoT technology for real-time bad posture detection. By integrating smart sensors and wearables strategically placed to monitor body positioning continuously, our system goes beyond conventional methods. The gathered posture data undergoes analysis by processing units, incorporating advanced algorithms that draw insights from fields like biomechanics and human-computer interaction. This holistic approach not only identifies instances of poor posture with heightened accuracy but also provides immediate feedback to users through visual cues or notifications, fostering self-awareness and encouraging posture correction. The versatility and scalability of our solution make it applicable to diverse settings, including offices, healthcare, and education. This paper delves into the design, implementation, and challenges of our IoT-based system, emphasizing its potential to mitigate health risks linked to prolonged poor posture. By embracing advanced interdisciplinary approaches, we contribute to a more comprehensive understanding of posture-related complexities, paving the way for future advancements in public health through the promotion of better posture habits.

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Improving the accuracy of the intrusion detection system in the detection of DoS attacks using one class SVM and comparison with SVM

Rakesh,

Nagalakshmi

2024

AIP Conference Proceedings

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Designing IoT based Posture Monitoring System

Cited by 3 publications

References 5 publications

Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches

Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches

Advanced interdisciplinary approaches for bad posture detection using computer vision and IoT

Improving the accuracy of the intrusion detection system in the detection of DoS attacks using one class SVM and comparison with SVM

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