Assistive Smart Home Environment using Head Gestures and EEG Eye Blink Control Schemes

Ghaffar, Muzzamil; Sheikh, Shakil R.; Naseer, Noman; Ahmed, Fraz

doi:10.1109/aims52415.2021.9466031

Cited by 5 publications

(1 citation statement)

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“…This strategy is applied either to activate a driver warning system or to trigger an automatic braking mechanism. In the home automation field, eye blinking detection is used to confirm a certain decision [16][17][18]. In medical applications, it is applied to make life easier for paralyzed patients by substituting more traditional interactions (such as the use of hands) with the eye blinks in order to activate certain systems (for example, controlling a wheelchair [19,20]).…”

Section: Related Workmentioning

confidence: 99%

A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset

López-Ahumada

Jiménez-Naharro

Gómez-Bravo

2023

Sensors

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Eye blink artifacts in electroencephalographic (EEG) signals have been used in multiple applications as an effective method for human–computer interaction. Hence, an effective and low-cost blinking detection method would be an invaluable aid for the development of this technology. A configurable hardware algorithm, described using hardware description language, for eye blink detection based on EEG signals from a one-channel brain–computer interface (BCI) headset was developed and implemented, showing better performance in terms of effectiveness and detection time than manufacturer-provided software.

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Section: Related Workmentioning

confidence: 99%

A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset

López-Ahumada

Jiménez-Naharro

Gómez-Bravo

2023

Sensors

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Smart clothing and furniture for supporting participation-co-creation concepts for daily living

2023

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Participation and social inclusion influence individuals’ health and well-being. These factors can be easily disturbed, especially for those with disabilities. Designers and engineers have tried harnessing technology to assist people via producing prototypes of assistive devices, such as smart clothing and furniture. This study approaches that user surface and inspects the user’s needs for participation through clothing and furniture. We thus arranged two similar workshops with student participants (n = 37) from four different educational units, creating 10 innovative concepts to support participation and social inclusion. All aimed to support participation via improved self-regulation, increased safety, or environmental control. Most of the concepts were connectible to another device, such as a mobile phone. All devices were made adjustable to meet personal preferences. This study aligns with previous ones by concluding that assistive technology should be unobtrusive, give timely responses, and interact with other devices. These initial concepts are ready to be turned into tangible prototypes.Article highlights Participation and social inclusion have remarkable meaning for an individual’s well-being and health. Commonly, assistive technology aims to solve challenges in daily living by promoting health and well-being. For this reason, we arranged two similar co-creation workshops and asked the participants to innovate smart clothing and furniture concepts that will promote greater participation and more social inclusion. This study also identified users’ needs, such as increased safety and independence, supported communication, self-regulation and awareness, and an effective learning tool. The majority of the concepts were designed to be adjustable to meet personal preferences, let individuals interact with other devices (such as a mobile phone), and give timely responses.

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An IOT Driven Eyeball And Gesture-Controlled Smart Wheelchair System for Disabled Person

Udaya¹,

Poojasree

2022

2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS)

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Assistive Smart Home Environment using Head Gestures and EEG Eye Blink Control Schemes

Cited by 5 publications

References 21 publications

A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset

A Hardware-Based Configurable Algorithm for Eye Blink Signal Detection Using a Single-Channel BCI Headset

Smart clothing and furniture for supporting participation-co-creation concepts for daily living

An IOT Driven Eyeball And Gesture-Controlled Smart Wheelchair System for Disabled Person

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