Compact vector twist sensor using a small period long period fiber grating inscribed with femtosecond laser

Shen, Fangcheng; Shu, Xuewen; Zhou, Kaiming; Jiang, Haiming; Xia, Hongyan; Kang, Xie; Zhang, Lin

doi:10.3788/col202119.090601

Cited by 13 publications

(5 citation statements)

References 32 publications

(57 reference statements)

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“…In addition, many technologies are borrowed from speech recognition technology and are also used to judge the motion state of the human body [18]. In terms of human motion gesture recognition, some basic actions of people's daily life, such as walking, jogging, sitting, and standing, can also be successfully recognized [19,20].…”

Section: Literature Reviewmentioning

confidence: 99%

Accurate Detection of Intelligent Running Posture Based on Artificial Intelligence Sensor

Zhang¹,

Cheng²

2022

Journal of Sensors

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In order to solve the problem of low accuracy of human posture recognition during motion, the author proposes a human posture recognition and detection method based on multiple sensors. The method uses acceleration sensor, angular velocity sensor, and single-chip microcomputer to collect data; uses time domain and frequency domain analysis methods to analyze the collected data; and then uses Bayesian classifier to classify and identify the current motion posture of the human body. The obtained results are as follows: in the traditional method, with the increase of subjects, the accuracy of the classification method continues to decline; when the number of subjects reaches 50, the accuracy rate is only 60%; in the experiment, the zero crossing times of the acceleration signal axis are selected, and the axis area of the angular velocity signal is used as the characteristic item to distinguish the two different attitudes of going upstairs and going downstairs; the discrimination can reach about 90%. The authors combine the data collected by the acceleration sensor and the angular velocity sensor to perform feature extraction and classification, and the classification accuracy can reach more than 95%. It is proved that the method proposed by the authors can perform human gesture recognition very quickly and has a high accuracy rate.

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Section: Literature Reviewmentioning

confidence: 99%

Accurate Detection of Intelligent Running Posture Based on Artificial Intelligence Sensor

Zhang¹,

Cheng²

2022

Journal of Sensors

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“…Although long-period grating has high mechanical strength, the limitations of its structure and sensing principle result in low torsional sensing sensitivity. 6 Researchers have found that introducing helical structures into optical fibers can benefit sensors in identifying torsion direction and improving sensitivity. 7 However, the production of helical structures often requires expensive motors and precise control platforms.…”

Section: Introductionmentioning

confidence: 99%

A novel torsion sensor based on helical tilted long-period fiber grating

Yao,

Xu,

Liu

et al. 2023

Third International Computing Imaging Conference (CITA 2023)

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A novel helical Tilted Long-Period Grating (TLPG) was proposed and experimentally investigated. The sensor was fabricated by rotating optical fibers under the exposure of a CO2 laser. When the tilted angle of the TLPG is 50°, the asymmetric structure of the TLPG allows the sensor to recognize the direction of torsion. Compared with non-TLPG, the helical TLPG structure reduces the structural damage to the optical fiber. Furthermore, the torsion sensitivity of the clockwise and counterclockwise directions increased by 4.4 times and 1.5 times, respectively, compared to the non-TLPG configuration.

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“…Fiber twisting is a simple and versatile method of modification of fiber structure, which provides additional opportunities for controlling light propagation. Twisted fibers can be used in different applications of fiber optics-in particular, in sensors of current [1], torsion [2,3], temperature [4] in fiber lasers [5], circular polarizers, couplers [6], optical vortices generators [7][8][9], and converters [10]. The optical effects of twisting are also of great fundamental interest [11], especially in relation with orbital angular momentum studies and vortex beams [12].…”

Section: Introductionmentioning

confidence: 99%

Exact Solution for Cladding Modes in Twisted Optical Fibers

Ivanov

2023

Photonics

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Exact equations are obtained to describe the propagation of the cladding modes in twisted optical fibers. Numerical solutions of these equations are found, which demonstrate that the paraxial approximation is not accurate for the cladding modes. Propagation constants and field distributions for the eigen circularly polarized modes are calculated for the coreless and standard fibers under twist. The cladding modes are affected by twisting much stronger than the core mode, and their field profiles are distorted. The exact modes have a mismatch between the radial and azimuthal components of the fields and cannot be combined to form the LP modes. Twisting may result in a change of sensitivity of the fiber to the external medium, which can be important for sensing applications.

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Compact vector twist sensor using a small period long period fiber grating inscribed with femtosecond laser

Cited by 13 publications

References 32 publications

Accurate Detection of Intelligent Running Posture Based on Artificial Intelligence Sensor

Accurate Detection of Intelligent Running Posture Based on Artificial Intelligence Sensor

A novel torsion sensor based on helical tilted long-period fiber grating

Exact Solution for Cladding Modes in Twisted Optical Fibers

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