Smart-hat: Safe and smooth walking assistant for elderly people

Shahnaz, Celia; Sampad, Mohammad Julker Neyen; Adhikary, Dimitri; Uchayash, Sajid Mahfuz; Mahdia, Marjana; Chowdhury, Sayeed Shafayet; Fattah, Shaikh Anowarul

doi:10.1109/istas.2017.8319088

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…Li et al put optical fiber-Bragg-grating-based sensors into functional textiles and obtained the wearer’s body temperature in real time through a weighted coefficient model constructed based on the body surface temperature where the textiles are located for health care [ 23 ]. Shahnaz et al developed a smart hat that uses sonar sensors to detect obstacles on a straight path and a three-axis acceleration sensor to detect the behavior of older people wearing the smart hat to prevent them from falling [ 24 ]. Chang et al installed a camera on a hat of a young child to recognize the objects that the child had seen and output it into audio so that the child could learn quickly in daily life [ 25 ].…”

Section: Related Researchmentioning

confidence: 99%

Estimating Scalp Moisture in a Hat Using Wearable Sensors

Mao

Tsuchida

Terada

et al. 2023

Sensors

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Hair quality is easily affected by the scalp moisture content, and hair loss and dandruff will occur when the scalp surface becomes dry. Therefore, it is essential to monitor scalp moisture content constantly. In this study, we developed a hat-shaped device equipped with wearable sensors that can continuously collect scalp data in daily life for estimating scalp moisture with machine learning. We established four machine learning models, two based on learning with non-time-series data and two based on learning with time-series data collected by the hat-shaped device. Learning data were obtained in a specially designed space with a controlled environmental temperature and humidity. The inter-subject evaluation showed a Mean Absolute Error (MAE) of 8.50 using Support Vector Machine (SVM) with 5-fold cross-validation with 15 subjects. Moreover, the intra-subject evaluation showed an average MAE of 3.29 in all subjects using Random Forest (RF). The achievement of this study is using a hat-shaped device with cheap wearable sensors attached to estimate scalp moisture content, which avoids the purchase of a high-priced moisture meter or a professional scalp analyzer for individuals.

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Section: Related Researchmentioning

confidence: 99%

Estimating Scalp Moisture in a Hat Using Wearable Sensors

Mao

Tsuchida

Terada

et al. 2023

Sensors

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“…To that end, one potential domain is the usage of biosensors [7][8][9][10][11][12][13][14][15][16][17][18][19][20]. They are preferable due to high selectivity and sensitivity, rapid response time, cost-effectiveness, and multiplexing capabilities.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of a Highly Sensitive Surface Plasmon Resonance Sensor for SARS-CoV-2 Detection

2021

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In this paper, we propose a surface plasmon resonance (SPR) structure based on Kretschmann configuration incorporating layers of silicon and BaTiO 3 on top of Ag for real-time detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using thiol-tethered DNA as a ligand. Extensive numerical analysis based on transfer matrix theory as well as finite-difference time-domain (FDTD) technique has been performed to characterize the sensor response considering sensitivity, full width at half maxima, and minimum reflection. About 7.6 times enhanced sensitivity has been obtained using the proposed architecture for SARS-CoV-2 detection, compared to the basic Kretschmann configuration. Notably, the structure provides consistent enhancement over other competitive SPR structures for both angular and wavelength interrogations with a figure-of-merit of 692.28. Additionally, we repeated simulations for various ligate-ligand pairs to assess the range of applicability and robust performance improvement has been observed. As a result, the proposed sensor design provides a suitable configuration for highly sensitive, rapid, noninvasive biosensing which can be useful if adopted in experimental sensing protocols.

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“…In recent years, various biosensors have been widely used for improvement of our lives ranging from heart-rate measurement [1], [2], remote healthcare [3]- [5] to personalized wheelchair control [6]- [9]. Among several biosensing techniques, optical sensors are extremely popular for accurate and fast operation.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Surface Plasmon Resonance Biosensor for Analysis of Lipid Molecules

Kabir

Uddin

Chowdhury

2020

2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT)

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Surface Plasmon Resonance (SPR) is an important bio-sensing technique for real-time labelfree detection. However, it is pivotal to optimize various parameters of the sensor configuration for efficient and highly sensitive sensing. To that effect, we focus on optimizing two different SPR structures-the basic Kretschmann configuration and narrow groove grating. Our analysis aims to detect two different types of lipids known as phospholipid and eggyolk, which are used as analyte (sensing layer) and two different types of proteins namely tryptophan and bovine serum albumin (BSA) are used as ligand (binding site). For both the configurations, we investigate all possible lipid-protein combinations to understand the effect of various parameters on sensitivity, minimum reflectivity and full width half maximum (FWHM). Lipids are the structural building block of cell membranes and mutation of these layers by virus and bacteria is one the prime reasons of many diseases in our body. Hence, improving the performance of a SPR sensor to detect very small change in lipid holds immense significance. We use finite-difference time-domain (FDTD) technique to perform quantitative analysis to get an optimized structure. We find that sensitivity increases when lipid concentration is increased and it is the highest (21.95 0 /RIU) for phospholipid and tryptophan combination when metal and lipid layer thickness are 45 nm and 30 nm respectively. However, metal layer thickness does not cause any significant variation in sensitivity, but as it increases to 50 nm, minimum reflectivity and full width half maximum (FWHM) decreases to the lowest. In case of narrow groove grating structure, broad range of wavelengths can generate SPR and the sensitivity is highest (900nm/RIU) for a configuration of 10 nm groove width and 70 nm groove height at a resonance wavelength of 1411 nm.

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Smart-hat: Safe and smooth walking assistant for elderly people

Cited by 5 publications

References 9 publications

Estimating Scalp Moisture in a Hat Using Wearable Sensors

Estimating Scalp Moisture in a Hat Using Wearable Sensors

Numerical Analysis of a Highly Sensitive Surface Plasmon Resonance Sensor for SARS-CoV-2 Detection

Optimization of Surface Plasmon Resonance Biosensor for Analysis of Lipid Molecules

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