Superelastic bamboo fiber-based spongy aerogel for flexible piezoresistive sensors with wide response range and high sensitivity

Chemical Engineering Journal, Год журнала: 2024, Номер 488, С. 151053 - 151053

Опубликована: Апрель 6, 2024

Язык: Английский

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A survey on sparrow search algorithms and their applications

International Journal of Systems Science, Год журнала: 2023, Номер 55(4), С. 814 - 832

Опубликована: Дек. 28, 2023

The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based that has made some significant advances since its introduction in 2020. A detailed overview of the basic SSA and several SSA-based variants presented this paper. To be specific, first, principle introduced including mechanism implementation process. Second, many improved SSAs are reviewed hybrid, chaotic, adaptive, binary multi-objective SSAs. In addition, applications real scenarios such as machine learning areas, energy systems, path planning image processing. Finally, further research directions discussed. This survey paper aims to provide a timely review on latest developments

Язык: Английский

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Effect of different postures and loads on joint motion and muscle activity in older adults during overhead retrieval

Frontiers in Physiology, Год журнала: 2024, Номер 14

Опубликована: Янв. 18, 2024

Introduction: Pain is a common health problem among older adults worldwide. Older tend to suffer from arm, lumbar, and back pain when using hanging cabinets. Methods: This study used surface electromyography record muscle activity motion capture system joint research effects of different loads retrieval postures on range retrieve objects high place, provide optimised feedback for the design cabinet furniture. Results: We found that: 1) The BB (Biceps brachii) side body interacting with door was greater than that UT (Upper trapezius) BR (Brachial radius) retrieving heavy object BR. 2) decreases shoulder angle 90°, but increases as increases. In contrast, increasing object’s mass causes maximum load joint. 3) Among overhead retrieval, alternating between right left hand preferable task. 4) Age had most significant effect followed by height (of person), changes were significantly only at experiment’s elbow L.BR. 5) took longer exerted more effort complete task younger adults, static exercise in may be demanding old age powered exercise. Conclusion: These results help optimise Regarding cabinets, 180 cm or less required regular movements if human 150 cm. Concerning depth heights chose comfort distances, which translated into cabinets; height, cabinets use.

Язык: Английский

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A dual fusion recognition model for sleep posture based on air mattress pressure detection

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

Опубликована: Май 15, 2024

Abstract In order to solve the difficult portability problem of traditional non-invasive sleeping posture recognition algorithms arising from production cost and computational cost, this paper proposes a model focusing on human body structural feature extraction integration space based specific air-spring mattress structure, called SPR-DE (SPR-DE is Sleep Posture Recognition-Data Ensemble acronym form). The combines SMR (SMR stands for Principle Spearman Maximal Relevance) with horizontal vertical division barometric pressure signals in body’s backbone region reconstruct raw data into strongly correlated non-image features sleep postures different parts directions construct set. Finally, recognit-ion two accomplished using AdaBoost-SVM integrated classifier. compared base classifiers verify its performance. experimental results show that amount significant helps algorithm classify patterns more accurately, f1 score determined by comparison experiments 0.998, accuracy can reach 99.9%. Compared other models, improved 2.9% ~ 7.7%, f1-score 0.029 0.076. Therefore, it concluded strategy achieve high strong robustness task small area, low-density air-pressure mattress, taking account comfort design recognition, adaptive adjustment system.

Язык: Английский

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Failure analysis for air spring systems of urban rail vehicles considering load spectrum

Engineering Failure Analysis, Год журнала: 2024, Номер 159, С. 107997 - 107997

Опубликована: Фев. 2, 2024

Язык: Английский

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Sleep posture analysis: state-of-the-art and opportunities of wearable technologies from clinical, sensing and intelligent perception perspectives

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 109 - 134

Опубликована: Янв. 1, 2025

Язык: Английский

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Unobtrusive Bed Monitor State of the Art

Sensors, Год журнала: 2025, Номер 25(6), С. 1879 - 1879

Опубликована: Март 18, 2025

On average, people spend more than a quarter of their day in bed. If physiological information could be collected automatically while we sleep, it would effective not only for health management but also disease prevention. Unobtrusive bed monitoring devices have been developed over the past 30 years or so to detect without awareness, and this method attracted attention again 2020s, with proliferation deep learning, AI, IoT. This section describes current state art.

Язык: Английский

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Sleep Posture Recognition Method Based on Sparse Body Pressure Features

Applied Sciences, Год журнала: 2025, Номер 15(9), С. 4920 - 4920

Опубликована: Апрель 29, 2025

Non-visual techniques for identifying sleep postures have become essential enhancing health. Conventional methods depend on a costly professional medical apparatus that is challenging to adapt domestic use. This study developed an economical airbag mattress and introduced method detecting sleeping positions via restricted body pressure data. The methodology relies distributed data obtained from barometric sensors positioned at various locations the mattress. Two combinations of base learners were chosen based complementary attributes model, each which can be amalgamated through soft-voting strategy. Additionally, architectures Autoencoder convolutional neural networks integrated, collectively constituting learning layer model. Gradient enhancement was utilized in meta-learner amalgamate output basic layer. experimental findings indicate suggested holistic model has high classification accuracy up 95.95%, precision 96.13%, F1 index 95.01% posture recognition assessments possesses considerable merit. In subsequent application, monitoring device identified employed air conditioner purifier create more comfortable environment. user utilize improve quality prevent related diseases.

Язык: Английский

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A Study of Visual Perception Based on Colour and Texture of Reconstituted Decorative Veneer

Coatings, Год журнала: 2023, Номер 14(1), С. 57 - 57

Опубликована: Дек. 29, 2023

Color and texture, as vital physical attributes of recombinant decorative thin wood, represent the initial visual information perceived by human eye. These elements play a crucial role in shaping viewing experience. This paper centers on user’s perception wood is divided into two main sections: extraction analysis color texture features, experimental research evaluating combinations texture. The experiments yielded conclusions indicating that design significantly influences objective eye movement data. Specific findings include: (1) gaze duration, counts, hotspot maps subjects consistently demonstrate high agreement across three indicators. Notably, significant difference observed between indicators blending modes. (2) Asymmetric oblique high-brightness circumferential tend to attract subjects’ attention more effectively. groups are characterized transparent layers, increased brightness, pronounced impact. Such features enhance effect highlighting its layers.

Язык: Английский

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A smart detection method for sleep posture based on a flexible sleep monitoring belt and vital sign signals

Heliyon, Год журнала: 2024, Номер 10(11), С. e31839 - e31839

Опубликована: Май 30, 2024

People spend approximately one-third of their lives in sleep, but more and people are suffering from sleep disorders. Sleep posture is closely related to quality, so detection very significant. In our previous work, a smart flexible monitoring belt with MEMS triaxial accelerometer pressure sensor has been developed detect the vital signs, snore events stages. However, method for not studied. Therefore, achieve high performance, low cost comfortable experience, this paper proposes based on sign signals measured by Inertial Measurement Unit (IMU). Statistical analysis wavelet packet transform applied feature extraction signals. Then algorithm recursive elimination cross-validation introduced further extract key features. Besides, machine learning models 10-fold cross validation process, such as decision tree, random forest, support vector machine, extreme gradient boosting adaptive boosting, were adopted recognize posture. 15 subjects recruited participate experiment. Experimental results demonstrate that accuracy forest highest among five models, which reaches 96.02 %. proposed feasible effective.

Язык: Английский

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