A Usability Study of Low-Cost Wireless Brain-Computer Interface for Cursor Control Using Online Linear Model

Abiri, Reza; Borhani, Soheil; Kilmarx, Justin; Esterwood, Connor; Jiang, Yang; Zhao, Xiaopeng

doi:10.1109/thms.2020.2983848

Cited by 28 publications

(13 citation statements)

References 46 publications

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“…Engineering : This is the second highest research area in this SLR, with 24 articles and 9 companies. Eight articles used Emotiv equipment [ 5 , 44 , 45 , 46 , 47 , 48 , 49 , 50 ], five articles used g.Tec equipment [ 51 , 52 , 53 , 54 , 55 ], three articles used Brain Products equipment [ 56 , 57 , 58 ], two articles used Compumedics Neuroscan equipment [ 59 , 60 ], and two articles used NeuroSky equipment [ 61 , 62 ]. For the equipment for Cognionics Inc. [ 63 ], Electrical Geodesics Inc. [ 64 ], Neuroelectrics [ 65 ], and Advanced Brain Monitoring [ 66 ], one article each used their equipment.…”

Section: Resultsmentioning

confidence: 99%

Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review

Jamil

Belkacem

Ouhbi

et al. 2021

Sensors

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Humans interact with computers through various devices. Such interactions may not require any physical movement, thus aiding people with severe motor disabilities in communicating with external devices. The brain–computer interface (BCI) has turned into a field involving new elements for assistive and rehabilitative technologies. This systematic literature review (SLR) aims to help BCI investigator and investors to decide which devices to select or which studies to support based on the current market examination. This examination of noninvasive EEG devices is based on published BCI studies in different research areas. In this SLR, the research area of noninvasive BCIs using electroencephalography (EEG) was analyzed by examining the types of equipment used for assistive, adaptive, and rehabilitative BCIs. For this SLR, candidate studies were selected from the IEEE digital library, PubMed, Scopus, and ScienceDirect. The inclusion criteria (IC) were limited to studies focusing on applications and devices of the BCI technology. The data used herein were selected using IC and exclusion criteria to ensure quality assessment. The selected articles were divided into four main research areas: education, engineering, entertainment, and medicine. Overall, 238 papers were selected based on IC. Moreover, 28 companies were identified that developed wired and wireless equipment as means of BCI assistive technology. The findings of this review indicate that the implications of using BCIs for assistive, adaptive, and rehabilitative technologies are encouraging for people with severe motor disabilities and healthy people. With an increasing number of healthy people using BCIs, other research areas, such as the motivation of players when participating in games or the security of soldiers when observing certain areas, can be studied and collaborated using the BCI technology. However, such BCI systems must be simple (wearable), convenient (sensor fabrics and self-adjusting abilities), and inexpensive.

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Section: Resultsmentioning

confidence: 99%

Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review

Jamil

Belkacem

Ouhbi

et al. 2021

Sensors

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“…A nose-teeth based mobile interaction system employing Viola-Jones and Lucas Kanade optical flow algorithm has been proposed and implemented in this research to control almost all the gesture and global operations of a smartphone using nose and teeth. Most of the existing systems focus on the interactions with desktop computer using different gestures [1], [2], [4], [5], [7], [8], [13], [21], BCI [28], [30], or person's breath [29]. There are a very few studies focusing on smartphone interaction [6], [23].…”

Section: Discussionmentioning

confidence: 99%

“…In [27], a system based on the EPOC+ device to control the computer with facial expressions and motion sensors is developed for motor impaired users. Similarly, Abiri et al [28] discussed a Brain Computer Interaction (BCI) based interaction system for controlling the cursor using EEG signals. Another interaction technique based on a person's respiration is presented in [29] where two methods are used to create an event in the system for interaction.…”

Section: Embedded System To Interact With Desktop Computermentioning

confidence: 99%

Developing a Novel Hands-Free Interaction Technique Based on Nose and Teeth Movements for Using Mobile Devices

Islam¹,

Aadeeb²,

Khan³

et al. 2021

IEEE Access

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Human-mobile interaction is aimed at facilitating interaction with the smartphone devices. The conventional way to interact with mobile devices is through manual input where most of the applications are made assuming that the end user has full control over their hand movements. However, this assumption excludes people who are unable to use their hands or have suffered limb damage. In this paper, we proposed a nose and teeth based interaction system, which allows the users to control their mobile devices completely hands free. The proposed system uses the front facing camera of the smartphone to track the position of the nose for cursor control on the smartphone screen. The system detects teeth for performing the touch screen events such as tap, scroll, long press, and drag. Viola-Jones algorithm is used to detect the face and teeth based on the Haar features. After detecting the face, the nose position is calculated and tracked continuously using Lucas Kanade's method for optical flow estimation. All the touch screen events have been implemented in the system so that the user can execute all the operations of the smartphone. To evaluate the performance and the effect of (smartphone) device type on the execution time, the proposed system was installed in 3 smartphone devices and 7 trials for each device were performed by 3 different able-bodied elderly persons. The result shows a significant success rate for the detection of nose and teeth, and for the execution of the operations. The execution time of each operation slightly varies by 0.72s on average because of the configuration of the smartphones.INDEX TERMS HCI, human-mobile interaction, gesture operations, disabled user, accessibility, mobile device, smartphone.

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“…These problems often cause low efficiency and effectiveness. Based on this, users encounter various difficulties when using a specific software [25]. Further, the usability issues can also lead to low acceptance rate of software applications [26].…”

Section: A Software Usabilitymentioning

confidence: 99%

A Systematic Mapping Study of Software Usability Studies

Almazroi¹

2021

IJACSA

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Among software quality attributes "software usability" is considered as one of the vital factors in software engineering literature. Software usability is the ability for users to generally understand, use, and learn a software with ease. Due to the importance of usability in software quality, a considerable amount of literature is published in the past decade. Few review and survey studies are also published to critically review the existing literature in the domain. However, there is limited research covering systematic mapping study of software usability. Mapping studies help in analyzing the general trends and research productivity in a research area. To fill this gap, this work critically examines the overall research productivity, demographics, trends, and challenges of software usability. The objective is to classify the current contributions and trends in the area of software usability. We retrieved 9,874 research articles from six research databases and 62 works are selected as primary studies using an evidence-based approach. The result of this mapping study shows that software usability is an active research area, with a promising number of works published in the last decade (2011 -2020). We identified that the current literature spans over multiple article classes of which investigative papers, model proposals and evaluation papers are the most frequently published article types. We found experiments and theoretical validations to be the most common validation techniques. In terms of application domains; web, software development and mobile applications are the most frequent domains where usability studies are conducted. We identified that future usability studies should focus more on field studies as well as on the usability testing of scientific software packages. It will be of importance to consider ethical issues in usability testing as well.

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A Usability Study of Low-Cost Wireless Brain-Computer Interface for Cursor Control Using Online Linear Model

Cited by 28 publications

References 46 publications

Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review

Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review

Developing a Novel Hands-Free Interaction Technique Based on Nose and Teeth Movements for Using Mobile Devices

A Systematic Mapping Study of Software Usability Studies

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