Digital Screen Detection Using a Head-mounted Color Light Sensor

Martire, Tommaso; Nazemzadeh, Payam; Cristiano, Alessia; Sanna, Alberto; Trojaniello, Diana

doi:10.1109/memea.2018.8438717

Cited by 6 publications

(1 citation statement)

References 5 publications

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“…Smart eyewear can reduce dry eye symptoms by increasing periocular humidity or using filters to control light exposure. Using light sensors and artificial intelligence algorithms, digital screen and different components of visible light can be detected [54]. Similarly, by monitoring users' screen viewing activities, real-time feedback helps users take cautionary actions [55].…”

Section: Overview Of Smart Eyewear Technology In Ophthalmology Carementioning

confidence: 99%

Artificial intelligence enabled smart digital eye wearables

RaviChandran,

Teo,

Ting

2023

Current Opinion in Ophthalmology

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Purpose of review Smart eyewear is a head-worn wearable device that is evolving as the next phase of ubiquitous wearables. Although their applications in healthcare are being explored, they have the potential to revolutionize teleophthalmology care. This review highlights their applications in ophthalmology care and discusses future scope. Recent findings Smart eyewear equips advanced sensors, optical displays, and processing capabilities in a wearable form factor. Rapid technological developments and the integration of artificial intelligence are expanding their reach from consumer space to healthcare applications. This review systematically presents their applications in treating and managing eye-related conditions. This includes remote assessments, real-time monitoring, telehealth consultations, and the facilitation of personalized interventions. They also serve as low-vision assistive devices to help visually impaired, and can aid physicians with operational and surgical tasks. Summary Wearables such as smart eyewear collects rich, continuous, objective, individual-specific data, which is difficult to obtain in a clinical setting. By leveraging sophisticated data processing and artificial intelligence based algorithms, these data can identify at-risk patients, recognize behavioral patterns, and make timely interventions. They promise cost-effective and personalized treatment for vision impairments in an effort to mitigate the global burden of eye-related conditions and aging.

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Section: Overview Of Smart Eyewear Technology In Ophthalmology Carementioning

confidence: 99%

Artificial intelligence enabled smart digital eye wearables

RaviChandran,

Teo,

Ting

2023

Current Opinion in Ophthalmology

View full text Add to dashboard Cite

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Indoor-Outdoor Detection Using Head-Mounted Lightweight Sensors

Martire

Nazemzadeh

Sanna

et al. 2020

13th EAI International Conference on Body Area Networks

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Digital health and wearable devices for retinal disease monitoring

Daich Varela,

Sanders Villa,

Pontikos

et al. 2024

Graefes Arch Clin Exp Ophthalmol

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Digital health is wielding a growing influence across all areas of healthcare, encompassing various facets such as telemedicine, artificial intelligence (AI), and electronic healthcare records. In Ophthalmology, digital health innovations can be broadly divided into four categories: (i) self-monitoring home devices and apps, (ii) virtual and augmented reality visual aids, (iii) AI software, and (iv) wearables. Wearable devices can work in the background, collecting large amounts of objective data while we do our day-to-day activities, which may be ecologically more valid and meaningful to patients than that acquired in traditional hospital settings. They can be a watch, wristband, piece of clothing, glasses, cane, smartphone in our pocket, earphones, or any other device with a sensor that we carry with us. Focusing on retinal diseases, a key challenge in developing novel therapeutics has been to prove a meaningful benefit in patients’ lives and the creation of objective patient-centred endpoints in clinical trials. In this review, we will discuss wearable devices collecting different aspects of visual behaviour, visual field, central vision, and functional vision, as well as their potential implementation as outcome measures in research/clinical trial settings. The healthcare landscape is facing a paradigm shift. Clinicians have a key role of collaborating with the development and fine-tuning of digital health innovations, as well as identifying opportunities where they can be leveraged to enhance our understanding of retinal diseases and improve patient outcomes.

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Digital Screen Detection Using a Head-mounted Color Light Sensor

Cited by 6 publications

References 5 publications

Artificial intelligence enabled smart digital eye wearables

Artificial intelligence enabled smart digital eye wearables

Indoor-Outdoor Detection Using Head-Mounted Lightweight Sensors

Digital health and wearable devices for retinal disease monitoring

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