3D Printed, Customizable, and Multifunctional Smart Electronic Eyeglasses for Wearable Healthcare Systems and Human–Machine Interfaces

Abstract

Personal accessories such as glasses and watches that we usually carry in our daily life can yield useful information from the human body, yet most of them are limited to exercise-related parameters or simple heart rates. Since these restricted characteristics might arise from interfaces between the body and items as one of the main reasons, an interface design considering such a factor can provide us with biologically meaningful data. Here, we describe three-dimensional-printed, personalized, multifunctional electronic eyeglasses (E-glasses), not only to monitor various biological phenomena but also to propose a strategy to coordinate the recorded data for active commands and game operations for human–machine interaction (HMI) applications. Soft, highly conductive composite electrodes embedded in the E-glasses enable us to achieve reliable, continuous recordings of physiological activities. UV-responsive, color-tunable lenses using an electrochromic ionic gel offer the functionality of both eyeglass and sunglass modes, and accelerometers provide the capability of tracking precise human postures and behaviors. Detailed studies of electrophysiological signals including electroencephalogram and electrooculogram demonstrate the feasibility of smart electronic glasses for practical use as a platform for future HMI systems.

The Relationship between Stress Levels Measured by a Questionnaire and the Data Obtained by Smart Glasses and Finger Pulse Oximeters among Polish Dental Students

“…Thanks to the technological improvements, monitoring of stress level could be performed with various wearable devices, such as smart watches and smart glasses, e.g., Google Glass or JINS MEME ES_R (JINS Holdings, Inc., Tokyo, Japan) [53][54][55][56][57][58][59][60][61], or smartphones [62]. These devices may be used to estimate the level of one's concentration; for instance, Ishimaru et al, conducted a study [63] which involved the use of JINS MEME ES_R smart glasses (JINS Holdings, Inc., Tokyo, Japan), further described in [61], to estimate the user's concentration level by processing the EOG signal and head position.…”

Advances and current challenges in non‐invasive wearable sensors and wearable biosensors—A mini‐review

“…(k) WBS in the form of contact lens in mechanical deformation, and the device in free movement, placed in the eye (Kouhani et al, 2019) (reproduced under the terms of licence Copyright © 2001, the authors, Royal Society of Chemistry). (l) Components of smart electronic glasses (E‐glasses) for healthcare systems and human‐computer interfaces (Lee et al, 2020) (reproduced with permission Copyright 2020, the authors, Applied Materials, American Chemical Society)…”

Bionic Ultra‐Sensitive Self‐Powered Electromechanical Sensor for Muscle‐Triggered Communication Application

“…[ 1 , 2 , 3 ] Traditional HMI devices triggered by actions or voices, such as smartwatches, gloves, glasses, and smart robots, are designed for healthy people. [ 4 , 5 , 6 , 7 ] Patients with amyotrophic lateral sclerosis and those who temporarily or permanently lose their voice due to oropharyngeal cancer treatment cannot enjoy this convenience and even face obstacles in daily communication. [ 8 ] HMIs based on bioelectrical signals, including neuronal, electroencephalogram, [ 9 ] electrooculogram (EOG), [ 10 ] and electromyography (EMG) signals, [ 11 ] etc., have the potential to address these issues.…”