Current Status and Future Trends in Sensor Miniaturization

Huck, Christian; Beć, Krzysztof B.; Grabska, Justyna

doi:10.1007/978-981-19-4884-8_5

Cited by 3 publications

(3 citation statements)

References 41 publications

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“…Market reports suggest that around 40 million smartwatches are sold every quarter of the year. 44 45 Some existing products with photonic devices or spectral sensors include high-end sport watches, a ring-sized sleep monitor, smart toothbrushes, hair analysis with custom formulations, a smart cosmetics applicator, and a vacuum cleaner equipped with a laser and particle counter. The latter isn't something out of an Austin Powers movie but is a product from Dyson that tangentially illuminates the surface, highlighting dust and dander, while giving the user a quantitative particle count.…”

Section: The Wearable Marketmentioning

confidence: 99%

Miniature and multi-spectral spectrometers in consumer goods and wearables

Crocombe¹

2023

MOEMS and Miniaturized Systems XXII

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In the past twenty years optical spectrometers have shrunk dramatically in size, giving us successively laboratoryportable, toaster-sized, instruments; cordless-drill-sized portable instruments for use in the field; and onto spectrometers the size of a computer mouse or deck of cards. The latest development in portable spectroscopy is the availability of very low-cost multispectral sensors, the size of computer chips, leading to the possibility of embedding them into consumer goods, including personal health monitoring, and eventually into medical products. The width of absorption bands in the visible and near-infrared regions for condensed phase samples imply that an instrument with a small number of resolution elements will be able to perform routine analyses, and that spectral range is a more important parameter than spectral resolution. Multispectral sensors can now be incorporated into 'fitness' products like smart watches and sports watches, and as photonic miniaturization increases, into 'wearables' like smart rings providing the user with health information. Multispectral devices can be produced in volume via semiconductor and optical coating techniques, at very low cost -less than $10 each. Silicon photonics and photonic integrated circuits (PICs), produced en masse using semiconductor manufacturing techniques, are the ideal next step. This paper surveys the field and highlights some 'smart' consumer device possibilities from toothbrushes to toilets.

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Section: The Wearable Marketmentioning

confidence: 99%

Miniature and multi-spectral spectrometers in consumer goods and wearables

Crocombe¹

2023

MOEMS and Miniaturized Systems XXII

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“…Nowadays a large number of miniaturized portable spectrometers are available, such as microPHAZIR (Thermo Fischer Scientific, USA); NIRONE sensors (Spectral Engines, Finland); Neo Spectra (Si-Ware Systems, Egypt); nanoFTIR NIR (SouthNest Technology, China); MicroNir ProEs (VIAVI solutions, USA); SCiO (Consumer Physics, Israel), and Enterprise Sensor NIR (TellSpec, UK) ( Beć et al, 2020 , 2021a ; Huck et al, 2022 ). However, miniaturized devices implement different technology solutions from benchtop equipment.…”

Section: Introductionmentioning

confidence: 99%

Performance of benchtop and portable spectroscopy equipment for discriminating Iberian ham according to breed

Hernández-Jiménez,

Revilla,

Vivar-Quintana

et al. 2024

Current Research in Food Science

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“…Likewise, progress in sensor development, wireless communication and energy-storage technologies has led to the realization that a fully pervasive network using wireless sensors deployed for health monitoring has almost come to fruition [ 5 ]. Micro-sensors, measuring just a few millimeters in size, equipped with onboard processing and wireless data-transfer capability, form the fundamental building blocks of specialized sensor networks that have been in operation for above ten years now [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

An Optimal, Power Efficient, Internet of Medical Things Framework for Monitoring of Physiological Data Using Regression Models

Mishra,

Liberman,

Brahamanpally

2024

Sensors

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The sensors used in the Internet of Medical Things (IoMT) network run on batteries and need to be replaced, replenished or should use energy harvesting for continuous power needs. Additionally, there are mechanisms for better utilization of battery power for network longevity. IoMT networks pose a unique challenge with respect to sensor power replenishment as the sensors could be embedded inside the subject. A possible solution could be to reduce the amount of sensor data transmission and recreate the signal at the receiving end. This article builds upon previous physiological monitoring studies by applying new decision tree-based regression models to calculate the accuracy of reproducing data from two sets of physiological signals transmitted over cellular networks. These regression analyses are then executed over three different iteration varieties to assess the effect that the number of decision trees has on the efficiency of the regression model in question. The results indicate much lower errors as compared to other approaches indicating significant saving on the battery power and improvement in network longevity.

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Current Status and Future Trends in Sensor Miniaturization

Cited by 3 publications

References 41 publications

Miniature and multi-spectral spectrometers in consumer goods and wearables

Miniature and multi-spectral spectrometers in consumer goods and wearables

Performance of benchtop and portable spectroscopy equipment for discriminating Iberian ham according to breed

An Optimal, Power Efficient, Internet of Medical Things Framework for Monitoring of Physiological Data Using Regression Models

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