Plastic Optical Fiber Sensor-based Smart Mattress For Sleeping Posture Remote Monitoring

Li, Tianliang; Pei, Qingfeng; Zhao, Chen

doi:10.1109/wimob55322.2022.9941526

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…T.Li et al proposed a BP neural network based on SSA to process sleeping position data, with a recognition accuracy as high as 98.1%, and realized remote signal transmission to build a multi-channel and longdistance sleeping position detection system. [6] After comparison, it is found that scheme two is more suitable for the design requirements.…”

Section: Scheme Comparison and Selectionmentioning

confidence: 99%

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Research on Intelligent Home and Security Risk Warning System

2023

IJNDES

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With the gradual development and popularity of smart home, the importance of the warning function of security risks gradually emerges. Aiming at reducing the personal and property losses of residents caused by security hazards, this paper analyses the causes and warning methods of various safety hazards such as fire, harmful gas leakage and so on, and provides a way of thinking for building a perfect intelligent home system and house danger warning system by choosing various sensor types such as IRS infrared sensor and Fiber Bragg Grating Sensor, the appropriate installation schemes can be developed in order to coordinate the alarm system and alarm the occurrence of danger in time.

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Section: Scheme Comparison and Selectionmentioning

confidence: 99%

“…Finally, the results were transmitted to the total monitoring system, which played a realtime monitoring role. [6] Figure 1: Operating process of optical fiber pressure sensor.…”

Section: Working Principle and Processmentioning

confidence: 99%

Research on Intelligent Home and Security Risk Warning System

2023

IJNDES

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A piezoresistive-based 3-axial MEMS tactile sensor and integrated surgical forceps for gastrointestinal endoscopic minimally invasive surgery

Hou,

Gao,

Yang

et al. 2024

Microsyst Nanoeng

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In robotic-assisted surgery (RAS), traditional surgical instruments without sensing capability cannot perceive accurate operational forces during the task, and such drawbacks can be largely intensified when sophisticated tasks involving flexible and slender arms with small end-effectors, such as in gastrointestinal endoscopic surgery (GES). In this study, we propose a microelectromechanical system (MEMS) piezoresistive 3-axial tactile sensor for GES forceps, which can intuitively provide surgeons with online force feedback during robotic surgery. The MEMS fabrication process facilitates sensor chips with miniaturized dimensions. The fully encapsulated tactile sensors can be effortlessly integrated into miniature GES forceps, which feature a slender diameter of just 3.5 mm and undergo meticulous calibration procedures via the least squares method. Through experiments, the sensor’s ability to accurately measure directional forces up to 1.2 N in the Z axis was validated, demonstrating an average relative error of only 1.18% compared with the full-scale output. The results indicate that this tactile sensor can provide effective 3-axial force sensing during surgical operations, such as grasping and pulling, and in ex vivo testing with a porcine stomach. The compact size, high precision, and integrability of the sensor establish solid foundations for clinical application in the operating theater.

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