Posture determination by using flex sensor and image analysis technique

In the sense of safety, searching solutions for the problems of farmers may face during their work in the field of agriculture is important. For this reason, in this research, developments in sensor technology and price declines are also considering, a safety tracking system with an audible warning support developed for any threshold value that selected during a posture angle measure of agricultural work. To achieve this goal the low cost, 11.25 cm long flex sensor is used with Arduino UNO R3 Development Board. In this way, human motion information for different purposes determined with flex sensors which placed on the various joints as a biometric application. Posture measurement also evaluated with image analysis technique. The system performance revealed the relationship between flex sensor and image analysis measurements, the regression coefficient between the angle change and the voltage output of the flex sensor found as 88.9 %, also it is seen that the regression relation between the angle change and the voltage output of the flex sensor fort he arm angle measurement is 80.7 % and the regression value for the leg angle measurement is 79.9 %.

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Analysis and Design of IoT-Enabled, Low-Cost Distributed Angle Measurement System

Proceedings ◽

10.3390/ecsa-6-06534 ◽

2019 ◽

Vol 42 (1) ◽

pp. 58

Author(s):

Rowida Meligy ◽

Imanol Picallo ◽

Hicham Klaina ◽

Peio Lopez-Iturri ◽

José Javier Astrain ◽

...

Keyword(s):

Focal Point ◽

Tracking System ◽

Low Cost ◽

Angle Measurement ◽

Sensor Technology ◽

Small Scale ◽

Maximum Output ◽

The Sun ◽

Cloud Infrastructure ◽

Analysis And Design

A Linear Fresnel Reflector (LFR) is a recent technology with good potential in small-scale solar power applications. It is composed of many long rows of mirrors that focus the sunlight onto a fixed elevated tubular receiver. Mirror segments are aligned horizontally and track the sun such that the receiver does not need to be moved. The efficiency with which the LFR can convert solar to thermal energy depends on the accuracy of the sun tracking system. To maximize the degree of sunlight capture, precise solar tracking is needed so that incident solar rays can be adequately focused to the focal point given by the location of the tubular receiver. The tilt angles of each row are relevant for the tracking controller to achieve correct positioning. Encoders are generally employed in closed-loop tracking systems as feedback signals used to inform the controller with the actual position of collector mirrors. Recently, inclinometers have begun to replace encoders as the most viable and cost-effective sensor technology solution; they offer simpler and more precise feedback, as they measure the angle of tilt with respect to gravity and provide the ability to adjust the system to the optimal angle for maximum output. This paper presents the research results on the development of remote measurements for the precise control of an LFR tracking system, by using distributed angle measurements. The applied methodology enables precision measurement LFR inclination angles through the fusion of data from multiple accelerometers, supported by low-cost wireless transceivers in a wireless sensor network, capable of exchanging information in a cloud infrastructure.

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