Design of sitting posture recognition algorithm based on Dlib

Yanfeng Tang; Haizheng You; Junqiang Lin; Zhenfeng Ma

doi:10.1117/12.2640285

23 May 2022 Design of sitting posture recognition algorithm based on Dlib

Yanfeng Tang, Haizheng You, Junqiang Lin, Zhenfeng Ma

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122543C (2022) https://doi.org/10.1117/12.2640285
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

Problems such as hunchback and myopia caused by improper sitting posture are becoming more and more serious. It is important to establish posture detection and give proper guidance and supervision. In this paper, on the basis of multifrequency lighting intelligent lamp, the introduction of artificial intelligence technology, from the perspective of machine vision proposed a set of posture correction system design based on face recognition technology. The camera adopts a rotatable structure, and its rotation is realized by STM32F103 driving steering gear. The sitting position information obtained by the camera is transmitted to Jeston Nano through CSI interface. Jeston Nano is the core of image processing. OpenCV + Dlib facial feature technology is used to collect the user's facial feature data. Study the user's work, study time, sitting posture information, to achieve regular rest and correct sitting posture reminder. The analysis results show that the intelligent desk lamp to lean forward, lean back, left, right and other non-standard posture recognition accuracy of more than 92%.

Citation Download Citation

Yanfeng Tang, Haizheng You, Junqiang Lin, and Zhenfeng Ma "Design of sitting posture recognition algorithm based on Dlib", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122543C (23 May 2022); https://doi.org/10.1117/12.2640285

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KEYWORDS

Facial recognition systems

Cameras

Lamps

Detection and tracking algorithms

Image processing

Visual process modeling

Control systems

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