Biosensor-Driven IoT Wearables for Accurate Body Motion Tracking and Localization

Sensors, Год журнала: 2024, Номер 24(10), С. 3032 - 3032

Опубликована: Май 10, 2024

The domain of human locomotion identification through smartphone sensors is witnessing rapid expansion within the realm research. This boasts significant potential across various sectors, including healthcare, sports, security systems, home automation, and real-time location tracking. Despite considerable volume existing research, greater portion it has primarily concentrated on activities. Comparatively less emphasis been placed recognition localization patterns. In current study, we introduce a system by facilitating both physical location-based utilizes capabilities to achieve its objectives. Our goal develop that can accurately identify different activities, such as walking, running, jumping, indoor, outdoor To this, perform preprocessing raw sensor data using Butterworth filter for inertial Median Filter Global Positioning System (GPS) then applying Hamming windowing techniques segment filtered data. We extract features from GPS select relevant variance threshold feature selection method. extrasensory dataset exhibits an imbalanced number samples certain address this issue, permutation-based augmentation technique employed. augmented are optimized Yeo–Johnson power transformation algorithm before being sent multi-layer perceptron classification. evaluate our K-fold cross-validation technique. datasets used in study Extrasensory Sussex Huawei Locomotion (SHL), which contain experiments demonstrate achieves high accuracy with 96% 94% over SHL activities 91% outperforming previous state-of-the-art methods recognizing types

Язык: Английский

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CRISPR-Driven Biosensors: A New Frontier in Rapid and Accurate Disease Detection

Critical Reviews in Analytical Chemistry, Год журнала: 2024, Номер unknown, С. 1 - 25

Опубликована: Сен. 17, 2024

This comprehensive review delves into the advancements and challenges in biosensing, with a strong emphasis on transformative potential of CRISPR technology for early rapid detection infectious diseases. It underscores versatility CRISPR/Cas systems, highlighting their ability to detect both nucleic acids non-nucleic acid targets, seamless integration isothermal amplification techniques. The provides thorough examination latest developments CRISPR-based biosensors, detailing unique properties such as high specificity programmability, which make them particularly effective detecting disease-associated acids. While focuses due its critical role diagnosing diseases, it also explores broader applications thereby acknowledging technology's potential. Additionally, identifies existing challenges, need improved signal real-world applicability, offers future perspectives aimed at overcoming these hurdles. ultimate goal is advance development highly sensitive specific biosensors that can be used widely improving human health, point-of-care settings resource-limited environments.

Язык: Английский

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Ultra-thin flexible rectenna integrated with power management unit for wireless power harvester/charging of smartwatch/wristband

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Март 28, 2024

Abstract This paper proposes a circularly polarized ultra-thin flexible antenna with rectifier and power management unit (PMU) for smartwatch/wristband applications. The is compact (0.17 λ 0 × 0.20 0.0004 ) has stepped ground plane. A parasitic element used at the substrate bottom to reduce specific absorption rate (SAR) enhance gain up 3.2 dBi, resonating frequency of WLAN/Wi-Fi (2.45 GHz). SAR proposed design also analysed frequency, it satisfies guidelines International Commission on Non-Ionizing Radiation Protection (ICNIRP) IEEE C95.1–2019 human safety standards. An impedance matching circuit between RF energy harvester improve conversion efficiency. Polarization mismatch avoided help circular polarization, achieved by tuning stubs size 0.02 0.044 . integration rectenna results in good efficiency 78.2% − 5 dBm input load resistance 2 KΩ. availability signals allows user charge connecting PMU harvester.

Язык: Английский

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Recent advances in nature inspired triboelectric nanogenerators for self-powered systems

International Journal of Extreme Manufacturing, Год журнала: 2024, Номер 6(6), С. 062003 - 062003

Опубликована: Июль 20, 2024

Abstract Triboelectric nanogenerators (TENGs) stand at the forefront of energy harvesting innovation, transforming mechanical into electrical power through triboelectrification and electrostatic induction. This groundbreaking technology addresses urgent need for sustainable renewable solutions, opening new avenues self-powered systems. Despite their potential, TENGs face challenges such as material optimization enhanced triboelectric effects, scalability, improving conversion efficiency under varied conditions. Durability environmental stability also pose significant hurdles, necessitating further research towards more resilient Nature inspired TENG designs offer promising solutions by emulating biological processes structures, mechanisms plants textured surfaces animal skins. biomimetic approach has led to notable improvements in properties, structural designs, overall performance, including robustness. The exploration bio-inspired unlocked possibilities harvesting, sensing, wearable electronics, emphasizing reduced consumption increased innovative design. review encapsulates advancements nature TENGs, highlighting integration principles overcome current limitations. By focusing on augmented biodegradability, self-healing capabilities, pave way versatile solutions.

Язык: Английский

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A Hybrid Approach for Sports Activity Recognition Using Key Body Descriptors and Hybrid Deep Learning Classifier

Sensors, Год журнала: 2025, Номер 25(2), С. 441 - 441

Опубликована: Янв. 13, 2025

This paper presents an approach for event recognition in sequential images using human body part features and their surrounding context. Key points were approximated to track monitor presence complex scenarios. Various feature descriptors, including MSER (Maximally Stable Extremal Regions), SURF (Speeded-Up Robust Features), distance transform, DOF (Degrees of Freedom), applied skeleton points, while BRIEF (Binary Independent Elementary HOG (Histogram Oriented Gradients), FAST (Features from Accelerated Segment Test), Optical Flow used on silhouettes or full-body capture both geometric motion-based features. Feature fusion was employed enhance the discriminative power extracted data physical parameters calculated by different extraction techniques. The system utilized a hybrid CNN (Convolutional Neural Network) + RNN (Recurrent classifier recognition, with Grey Wolf Optimization (GWO) selection. Experimental results showed significant accuracy, achieving 98.5% UCF-101 dataset 99.2% YouTube dataset. Compared state-of-the-art methods, our achieved better performance recognition.

Язык: Английский

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Bio-inspired structures for energy harvesting self-powered sensing and smart monitoring

Mechanical Systems and Signal Processing, Год журнала: 2025, Номер 228, С. 112459 - 112459

Опубликована: Фев. 11, 2025

Язык: Английский

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Nature-Inspired Solutions for Sustainable Mining: Applications of NIAs, Swarm Robotics, and Other Biomimicry-Based Technologies

Biomimetics, Год журнала: 2025, Номер 10(3), С. 181 - 181

Опубликована: Март 14, 2025

Environmental challenges, high safety risks and operational inefficiencies are some of the issues facing mining sector. The paper offers an integrated viewpoint to address these by combining swarm robotics, nature-inspired algorithms (NIAs) other biomimicry-based technologies into a single framework. It presents systematic classification each methodology, emphasizing their key advantages disadvantages as well considering real-life application scenarios, including hazard detection, autonomous transportation energy-efficient drilling. Case studies citied demonstrate how methodologies work together, extensive comparison table applications at mines, such Boliden, Diavik Diamond Mine, Olympic Dam others, summary scalability practicality. This highlights future directions multi-robot coordination hybrid NIAs, improve resilience sustainability. also provides broad overview biomimicry critically examines unresolved like real-time adaptation, parameter tuning mechanical wear. aims offer comprehensive insight using bio-inspired models enhance efficiency, environmental management, while proposing road map for resolving that continue be hurdle wide adaptation in industry.

Язык: Английский

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Determinants of Design with Multilayer Perceptron Neural Networks: A Comparison with Logistic Regression

Sustainability, Год журнала: 2025, Номер 17(6), С. 2611 - 2611

Опубликована: Март 16, 2025

This research focuses on harnessing artificial neural networks (ANNs) to enhance the design of steel structures. The process encompasses various stages, including defining building’s geometry, estimating loads, selecting an appropriate structural system, sizing components, and creating detailed plans. Optimizing weight these structures is vital for reducing costs, improving efficiency, minimizing environmental impact. study specifically investigates multilayer perceptron (MLP) optimize structure design. It evaluates different ANN configurations with varying numbers hidden layers neurons find most effective arrangement. Additionally, performance MLP compared that logistic regression. results demonstrate deliver superior accuracy in optimizing designing at early stage can reduce consumption energy raw materials before production themselves begins. important from economic point view because some costs be reduced during process. When structures, it also possible take into account changing conditions, such as growing share renewable sources total balance many countries.

Язык: Английский

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Determination of probability density, position and momentum uncertainties, and information theoretic measures using a class of inversely quadratic Yukawa potential

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 27, 2025

This study utilizes the Nikiforov-Uvarov method to solve Schrödinger equation for class of inversely quadratic Yukawa potential (CIQYP), deriving both energy and normalized wave function. Shannon entropy Fisher information in position momentum spaces are analyzed low-energy states using The Bialynicki-Birula-Mycielski Stam-Cramer-Rao inequalities satisfied entropies, illustrating complementary uncertainties inherent quantum mechanics. underscores interplay between reinforcing Heisenberg uncertainty principle, which imposes limits on precise simultaneous measurement conjugate variables. Eigenvalues CIQYP three diatomic molecules (N₂, O₂, NO) obtained their respective data, revealing that bound state spectra these increase as principal number angular rise. Expectation values were numerically determined, model simplifies Kratzer under specific boundary conditions, thereby ensuring analytical accuracy. such I₂ CO examined, showing a fixed number, spectrum increases with increasing very good agreement previously results different methods.

Язык: Английский

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A systematic review of nanotechnology for electric vehicles battery

International Journal of Low-Carbon Technologies, Год журнала: 2024, Номер 19, С. 747 - 765

Опубликована: Янв. 1, 2024

Abstract Nanotechnology has increased electric vehicle (EV) battery production, efficiency and use. is explored in this car illustration. Nanoscale materials topologies research energy density, charge time cycle life. Nanotubes, graphene metal oxides improve storage, flow charging/discharge. Solid-state lithium-air high-energy batteries are safer, more dense stable using nanoscale catalysts. improves parts. Nanostructured fluids reduce lithium dendrite, improving batteries. Nanocoating electrodes may damage extend benefits the planet. Nanomaterials allow parts to employ ordinary, safe instead of rare, harmful ones. promotes recycling, reducing waste. Change does not influence stable, cost-effective or scalable items. Business opportunities for nanotechnology-based EV need research. High-performance, robust environmentally friendly might make cars popular transportation sustainable with development. An outline nanotechnology researchexamines publication patterns, notable articles, collaborators contributions. This issue was researched extensively, indicating interest. Research focuses on anode materials, storage performance. A landscape assessment demonstrates nanotechnology’s growth future. comprehensive literature review examined nanosensors EVs. Our study provides a solid foundation understanding current state research, identifying major trends discovering breakthroughs sensors by carefully reviewing, characterizing rating important papers.

Язык: Английский

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