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The growing prevalence of posture-related
health issues, particularly among individuals with
sedentary
lifestyles,
has
necessitated
development of intelligent systems capable of
monitoring and correcting poor posture. This paper
presents a Neuro-Enhanced Posture Detection and
Correction System utilizing flex sensor technology
integrated with microcontroller-based hardware.
The system is designed to detect deviations in spinal
alignment by measuring the flexion angle of the
user's back in real time. A combination of flex
sensors and the MPU6050 gyroscope-accelerometer
module is employed to gather posture data, which is
then processed through a microcontroller unit,
typically an Arduino Uno. Based on the detected
deviation from an ideal posture, the system provides
corrective feedback through LED indicators or alert
mechanisms. What distinguishes this system is the
neuro-enhancement aspect, which implies the
potential integration of neuro-feedback or future
adaptation to neural activity monitoring to refine
posture correction mechanisms.
"Neuro-Enhanced Posture Detection and Correction System using Flex Sensor Technology", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b619-b624, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506173.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator