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To describe a proprietary golf swing measurement system and explore how it works.

The purpose of the system is described, followed by an overview of the hardware. The capabilities of the image‐processing software are examined, along with the measurements and information that it produces.

Short‐duration flash illumination produces multiple images of the club head and ball in a stereo pair of cameras, enabling the computation of the trajectory in three dimensions. Callaway has invested a great deal of experimental effort in this development.

Reveals the technical foundations of a sports application, for the general interest of engineers and scientists.

The paper aims to theoretically predict sensor signals and calibration factors for twin‐straight tube Coriolis flowmeters. It also aims to determine an optimal flow path to minimize pressure loss.

Two major aspects involved in the latest research and development of a series of twin‐straight tube Coriolis mass flowmeters are presented. Firstly, the theoretical method adopted for the concept design to predict sensor signals and calibration factors is given. This is essentially a finite element method using the fluid structure interaction theory based on a Timoshenko beam coupled with one‐dimensional flow. Secondly, detailed design using computational fluid dynamics is described to optimise pressure loss. Finally, experimental results from testing a prototype meter are given and compared with the numerical results.

Finds that sensor signals and calibration factors can be predicted with the presented method. Also finds that pressure loss can be minimized with an optimized flow splitter.

Comparison between experiments and theoretical results shows agreement and indicates the effectiveness of computer‐aided engineering at an early development stage of Coriolis mass flow sensors.

Provide a theoretical model to predict sensor signals and calibration factors for Coriolis mass flowmeters. Introduce an optimized splitter shape for a twin tube configuration.

To describe the historical development of micro‐electromechanical system (MEMS) sensor technology, to consider its current use in physical, gas and chemical sensing and to identify and discuss future technological trends and directions.

This paper identifies the early research which led to the development of MEMS sensors. It considers subsequent applications of MEMS to physical, gas and chemical sensing and discusses recent technological innovations.

This paper illustrates the greatly differing impacts exerted on physical, gas and chemical sensing by MEMS technology. More recent developments are discussed which suggest strong market prospects for MEMS devices with analytical capabilities such as microspectrometers, micro‐GCs, microfluidics, lab‐on‐a‐chip and BioMEMS. This view is supported by various market data and forecasts.

This paper provides a technical and commercial insight into the applications of MEMS technology to physical and molecular sensors from the 1960s to the present day. It also identifies high growth areas for innovative developments in the technology.

Tongue diagnosis is a standard expert technique of traditional Chinese medicine (TCM). Computerized tongue diagnosis promises to automate the process of tongue diagnosis yet the tongue images segmentation upon which it depends is made difficult by the fact that the tongue is non‐rigid and varies greatly in size, shape, color, and texture. This paper presents a novel medical sensor system for TCM tongue diagnosis, which makes use of hyperspectral imaging technology.

The tongue image capturing sensor device for Chinese medical is based on the theory of the pushbroom hyperspectral imager. The paper illustrates its advantages by detecting the tongue contour in the hyperspectral images.

The experiments from 1,522 clinical tongue images show the validity of the system.

In this paper, the authors propose to use hyperspectral technology for tongue diagnosis for the first time in the literature and obtain promising results.

The novel sensor for tongue image capture gives a new method for tongue imformation collection. This system gives a new approach for tongue information collection.

The paper aims to present an innovative method for imaging the pressure distribution between two interface surfaces. The physical principles behind the design of the pressure imaging system are explained, and some case studies involving the use of this technology in diverse applications are described.

The XSENSOR pressure sensor is comprised of a matrix of capacitive sensing elements. Pressure applied to the surface of the sensing element causes a change in capacitance that is correlated to a change in pressure. Proprietary Windows based software compensates for sensor non‐linearity, hysteresis, and creep over time, resulting in enhanced accuracy.

XSENSOR's capacitive based pressure imaging sensors can graphically display pressure distributions in real time between virtually any two surfaces in contact. The sensor element is accurate, thin, flexible, and robust. These physical characteristics minimize any artificial influences created by the presence of the sensor during data collection.

Pressure imaging technology can be used in industrial and engineering environments for product design and verification, process control, or quality assurance.

This paper will be useful to the engineer or business manager interested in applying sensor technology to solve engineering or design problems.

The aim of this paper is to create a sensor that can measure the contact status with high‐resolution than ever.

This paper proposes a new type of optical tactile sensor that can detect surface deformation with high precision by using the principle of optical lever. A tactile sensor is constructed that utilizes the resolution of a camera to the maximum by using transparent silicone rubber as a deformable mirror surface and taking advantage of the reflection image.

It has been found that the sensor can sense the deformation by the object with 1 percent error rate in simulation. In implementation of this time, the error rate results 10 percent.

This sensor can be used with broad applications by combining with other devices. As one of future work, the zero method will be used by using active patterns and get more accurate information.

Using the transparent silicone rubbers the sensor enables very simple and low cost and high‐resolution detection method. In addition, the simplicity of our sensor results various applications. For example, the transparency makes the sensor a light pathway, so the sensor can be a contactless sensor or an interactive device.

The concept of a tactile sensing method is introduced which can utilize the resolution of a camera to the maximum possible extent and can detect surface deformation by using the principle of optical lever.

To describe new technological approaches and improvements to existing methods of measuring position in automation, sports and general applications.

Starts with interesting applications of established sensor technology in motorsports and aircraft manufacture. Then examines some new position sensors based on novel technology.

Optical techniques including lasers and linear encoding enable high precision position sensing over long distances. Laser scanning systems have some advantages over vision systems for pick and place applications. Differential global positioning system (GPS) and carrier‐wave techniques are giving millimeter accuracy to GPSs.

Highlights the more exciting aspects of position sensing.

This paper is designed to encourage electronic device designers to take a new look at a recent technology, Hall‐effect sensing, that has seen exceptional growth in certain areas, but could find much wider application and acceptance due to new supporting technologies.

The paper introduces Hall‐effect technology, and then explores how it has been applied, in particular, differentiating between the primary types of Hall sensors, and the highly differentiated range of sensing behaviors they can provide. In addition, it explores some of the enabling technologies, such as advances in signal processing, that have made this technology so much more robust than in its earliest days. This allows the application of the extreme high‐reliability benefit of contactless Hall sensing to a broader range of applications than ever before.

In addition to the advances that have made Hall‐effect sensing more practical, there are additional contributions to the designs of complete solutions. These advances include power and space reduction, as well as integration of diagnostic and protection functions that allow Hall sensor ICs to provide the advanced data‐driven features that are becoming more in demand in miniaturized portable consumer electronics, automobiles, and other growing industries.

The research is intended as a general introduction to an emerging, yet complex technology. It is limited to standard configurations, and simplified explanations of magnetic effects.

This paper can be of great value to application designers who specialize in either the mechanical or electrical engineering disciplines, and who would like a cross‐disciplinary introduction to this technology, which requires a foundation in both areas simultaneously. In addition, the somewhat mysterious realm of electromagnetics is presented in a practical way, allowing the reader to gain enough confidence to begin experimenting with this innovative technology.

To provide an overview of self‐validating sensor technology for researchers and engineers which can help them understand the concept and recent developments of this research area.

The concept of self‐validating (SEVA) sensors, including definition, output parameters and requirement of SEVA sensors are introduced. The differences between SEVA sensors and traditional sensors are given from which we can see many advantages of SEVA sensors. The principium of SEVA sensors is presented by the functional architecture. The research development of SEVA sensors is introduced in two aspects: research development of sensor fault diagnosis and signal reconstruction and research development of SEVA sensor hardware.

Summarizes the methods for sensor fault diagnosis and signal reconstruction in the research of SEVA sensors, and the development steps of SEVA sensor hardware. Indicates the shortages and problems of current research and gives our research and ideas to solve these problems.

This paper provides a detailed description and research information of self‐validating sensor technology for those who want to know and research on this area.