Author(s)

Yan Liang ¹, Yunsheng Li ¹, Hao Yin ¹, Liju Yin ¹

Affiliation(s)

¹ School of Electrical & Electronic Engineering, Shandong University of Technology, Zibo, Shandong, 255000, China

Corresponding Author

Yan Liang

ABSTRACT

Aiming at the problem of waist strain caused by people sitting for a long time and improper sitting posture at work, an intelligent correction seat for improving sitting posture is independently developed based on stm32 single chip microcomputer. The seat measures the sitting posture data through pressure sensors and ultrasonic sensors, and establishes a sitting posture model through neural network for sitting posture recognition. This seat solves the problem of difficult to correct bad sitting posture and reduces the incidence of lumbar diseases. Convolutional neural network for deep learning can meet the needs of fast and accurate identification and correction. This solution has the advantages of low cost, high precision, fast feedback, and wide range.

KEYWORDS

smart correction, convolutional neural network, sitting posture recognition

CITE THIS PAPER

Yan Liang, Yunsheng Li, Hao Yin, Liju Yin, Intelligent Active Correction Seat Based on Neural Network Sitting Posture Recognition. Journal of Artificial Intelligence Practice (2022) Vol. 5: 34-41. DOI: http://dx.doi.org/10.23977/jaip.2022.050205.

REFERENCES

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[6] Guan Weidong. An intelligent ergonomic chair that can correct sitting posture: CN209421434U[P]. 2019.
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