Real-time monitoring of the gastrointestinal tract in a safe and comfortable manner is valuable for the diagnosis and therapy of many diseases. Within this realm, our review captures the trends in ingestible capsule systems with a focus on hardware and software technologies used for capsule endoscopy and remote patient monitoring. We introduce the structure and functions of the gastrointestinal tract, and the FDA guidelines for ingestible wireless telemetric medical devices. We survey the advanc...

Software Engineering  Allergy & Clinical Immunology  Medical Education  Veterinary Medicine  Simulation/Analytical Evaluation of Communication Systems  Self-Stabilization, Autonomic Computing  Clinical Medicine  Automata  Technology  Computational Robotics  Environmental Sciences  Cloud Computing  Artificial Intelligence  Mobile and Portable Communications Systems  Mobile and Ubiquitous Networks  Applications of Communication Systems  Biological Engineering  Chemical Engineering & Technology  Genetics  Multimedia/Signal processing  Machine Learning  Pathology  Biological Materials  Electric Engineering  Public Health  Evidence Based Medicine  Gastroenterology & Hepatology  Health Policy  Computer Engineering  Global Health  Image Processing  Bioengineering  Mechanical Engineering  Bioinformatics  Biotechnology  Functional Materials  Computer Vision  Urology  Infectious Diseases  Women’s Health  Synthetic Biology  Materials Engineering  Radiology & Medical Imaging  Internal Medicine  Metabolic Sciences 

Doi:10.34133/2021/9854040

Precision swine production can benefit from autonomous, noninvasive, and affordable devices that conduct frequent checks on the well-being status of pigs. Here, we present a remote monitoring tool for the objective measurement of some behavioral indicators that may help in assessing the health and welfare status—namely, posture, gait, vocalization, and external temperature. The multiparameter electronic sensor board is characterized by laboratory measurements and by animal tests. Relevant behavi...

Software Engineering  Information Technologies  Zoology  Veterinary Medicine  Information Science  Economics  Automata  Technology  Agricultural Engineering  Communication Protocols  Environmental Sciences  Cloud Computing  Animal Behavior  Artificial Intelligence  Mobile and Portable Communications Systems  Agricultural Science  Big Data Search and Mining  Mobile and Ubiquitous Networks  Information Management  Applications of Communication Systems  Biological Engineering  Chemical Engineering & Technology  Mobile Computing Systems  Food Science & Technology  Logistics Engineering  Technology And Innovation  Machine Learning  Electric Engineering  Biological Materials  Public Health  Industrial Engineering  Statistics  Computer Engineering  Information retrieval  Biodiversity  Bioengineering  Image Processing  Distributed computing  Computer Vision  Consumer Behavior  Entrepreneurship 

Doi:10.3390/ani11092665

Skin detection is one of the most essential and primary stages in image processing applications such as face detection, hand detection and hand tracking. In proposed system, hand segmentation using color models is introduced for detecting user’s hand by skin based segmentation technique for writing alphabets according to the movement of hand. The proposed system lets the user to write alphabets using hand detection based on skin and works efficiently in faster, robust, accurate and real-time app...

Image Processing 

Doi:-

Cerebral palsy (CP) is a disorder of physical body movement and posture caused by a lesion or injury of the immature brain. Many children with CP frequently develop learning disabilities. A child with learning disability has an average or above average level of intelligence. Other than that, the brain damage that leads to CP can also lead to other health issues, including vision, hearing and speak problems, and learning disabilities. As a result, the system or applications that must be developed...

Software Engineering  Artificial Intelligence  Mobile Computing Systems  Computer Engineering  Computer Vision  Image Processing  Computational Robotics 

Doi:-

Image features play a vital role in image retrieval. This chapter presents the use of Zernike moment features for retrieving the binary and gray level images from established image databases. To retrieve a set of similar category of images from an image database, up to 25 Zernike moment features from order zero to order 8 were utilized and experimented in this chapter. A total of 1400 binary images from MPEG-7 dataset and 1440 images from a COIL-20 dataset were used to evaluate the capability o...

Doi:10.15579/gcsr.vol1.ch12

The term adaptivity is absent from the state-of-the-art moment-based image watermarking methods. A question to be answered is whether adaptive watermark insertion will guide to the enhancement of image's security (concerning a number of requirements such as robustness, imperceptibility, complexity and capacity). Initially, the term adaptivity is being unfold from different perspectives; the selection of the most qualified coefficients (considering their order and magnitude) for carrying the wate...

Doi:10.15579/gcsr.vol1.ch11

The rapid growth of the Internet and multimedia information has generated a need for technical indexing and searching of multimedia information, especially in image retrieval. Image searching systems have been developed to allow searching in image databases. However, these systems are still inefficient in terms of semantic image searching by textual query. To perform semantic searching, it is necessary to be able to transform the visual content of the images (colours, textures, shapes) into sema...

Doi:10.15579/gcsr.vol1.ch10

We present a detailed analysis of the Jacobi-Fourier moments and their applications in digital image processing. In order to reach numerical stability during the computation of the Jacobi radial polynomials a recursive approach is described. Also, some discussions are done about the best values of the parameters α and β in terms of its performance. Moreover, the digital image applications studied here are divided in low or high orders n of the polynomials. Typically, the pattern recognition appl...

Doi:10.15579/gcsr.vol1.ch8

This chapter introduces 2D and 3D Gaussian-Hermite moments and rotation invariants constructed from them. Thanks to their numerical stability, Gaussian-Hermite moments provide better reconstruction and recognition power than the geometric and most of other orthogonal moments while keeping the simplicity of design of the invariants. This is illustrated by experiments on real 2D and 3D data.

Doi:10.15579/gcsr.vol1.ch7

Orthogonal moment functions based on Tchebichef polynomials have found several applications in the field of image analysis because of their superior feature representation capabilities. Local features represented by such moments could also be used in the design of efficient texture descriptors. This chapter introduces a novel method of constructing feature vectors from orthonormal Tchebichef moments evaluated on 5x5 neighborhoods of pixels, and encoding the texture information as a Lehmer code...

Doi:10.15579/gcsr.vol1.ch6