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7 articles for “LBP”
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A Study to Assess the Effectiveness of Body Mechanics Training Programme on Reducing Low Back Pain Among Nursing Officers Working in Selected Hospitals, Bangalore
Abstract: Background: Low Back Pain (LBP) is a common work related injury and costly problem among the nursing profession. Numerous studies indicate a greater occurrence of back pain and work-related back injuries among nursing officers in comparison to other occupations. Prevention of LBP is a very important technique to maintain proper body mechanics. This study aimed to assess the effectiveness of body mechanics training programme on reducing low back pain among …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 29–62 Read article
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Facial Biometrics Driven Attendance Automation Solution Using LBPH Algorithm
Abstract: In today's educational landscape, managing attendance remains a central administrative task, often conducted manually on paper, consuming valuable time for educators. This project proposes a solution utilizing facial recognition technology to streamline the attendance process, thereby saving time and maintaining accurate student records. The objective is to develop an automated attendance system that is minimally intrusive, cost-effective, and highly efficient, leveraging computer vision techniques and algorithms like local binary patterns …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 27–35 Read article
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An Evaluation of the Impact of a Structured Teaching Program on Staff Nurses' Knowledge of Low Back Pain Prevention in Intensive Care Units at Selected Hospitals in Bangalore
Abstract: The study aimed to assess the knowledge of ICU nurses concerning the prevention of low back pain (LBP), determine the effectiveness of a structured teaching program (STP) in improving their knowledge, and examine the relationship between pre-test knowledge levels and various demographic factors. A pre-experimental research design was utilized, featuring a one-group pre-test and post-test method. The study employed non-probability convenience sampling to recruit 60 ICU nurses for participation. Data …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 1–13 Read article
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Face Recognition Attendance System Using Local Binary Pattern Histogram Algorithm
Abstract: Maintaining accurate and tamper-proof attendance records in educational and corporate environments has long been a challenge due to the limitations of manual and biometric systems. This study introduces the development and deployment of a contactless, automated attendance system that utilizes facial recognition through the local binary pattern histogram (LBPH) algorithm. The primary goal is to offer a secure and efficient substitute for conventional attendance methods by harnessing the power of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 29–34 Read article
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Baggage Detection and Recognition Using Local Tri-Directional Pattern
Abstract: Nowadays, pattern-based image retrieval algorithms are gaining popularity just because of their uniqueness. There are several issues in the previously proposed systems. The proposed system resolves issues highlighted in the literature. Our proposed system is tested on two image datasets ILIDS and PETS 2006. LTDP provides good results as compared to LBP in baggage detection on two classes that either bag is present or not in an image because LTDP …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 8–17 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation Read article
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Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article