A hybrid BCI-controlled smart home system combining SSVEP and EMG for individuals with paralysis

Chai, Xiaodong; Zhang, Zhimin; Guan, Kai; Lu, Yangting; Liu, Guitong; Zhang, Tengyu; Huang, Niu

doi:10.1016/j.bspc.2019.101687

Cited by 43 publications

(38 citation statements)

References 29 publications

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“…Usually, the subjects need multiple psychological tasks to drive the wheelchair to complete a smooth trajectory. Thus, more mental commands were decoded [55,60,[115][116][117][118][119][120][121][122]. In [115,119], each direction (left, forward, right, backward and stop) of the wheelchair corresponded to a mental task (movement imagery, trivial multiplication, geometrical figure rotation, non-trivial multiplication and relaxation).…”

Section: ) Mi-based Bcwmentioning

confidence: 99%

“…Gazing at stimuli at different frequencies corresponding to a certain function can select a device or device action. Several particular occlusal patterns respectively were used to confirm the selected function, return from sub-interface to the main interface and switch on/off the system [116,182]. The design concept of the BCW control system indicates that the development trend of the BCW will be combined with the Internet of Things and closer to the lives of patients.…”

Section: Brain-controlled Wheelchairs Combined Smart Home Systemmentioning

confidence: 99%

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Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, From Single Modal to Hybrid Modal, From Synchronous to Asynchronous

Wang

Yan

et al. 2021

IEEE Access

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Brain-computer interface (BCI) is a novel human-computer interaction model, which does not depend on the conventional output pathway (peripheral nerve and muscle tissue). In the past three decades, it has attracted the interest of researchers and gradually become a research hotspot. As a typical BCI application, the brain-controlled wheelchair (BCW) could provide a new communicating channel with the external environment for physically disabled people. However, the main challenge of BCW is how to decode multi-degree of freedom control instruction from electroencephalogram (EEG) as soon as possible. The research progress of BCW has been developed rapidly over the past fifteen years. In this review, we investigate the BCW from multiple perspectives, include the type of signal acquisition, the pattern of commands for the control system and the working mechanism of the control system. Furthermore, we summarize the development trend of BCW based on the previous investigation, and it is mainly manifested in three aspects: from a wet electrode to dry electrode, from single-mode to multi-mode, and from synchronous control to asynchronous control. With the continuous development of BCW, we also find new functions have been introduced into BCW to increase its stability and robustness. It is believed that BCW will be able to enter the real-life from the laboratory and will be widely used in rehabilitation medicine in the future.

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Section: ) Mi-based Bcwmentioning

confidence: 99%

Section: Brain-controlled Wheelchairs Combined Smart Home Systemmentioning

confidence: 99%

Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, From Single Modal to Hybrid Modal, From Synchronous to Asynchronous

Wang

Yan

et al. 2021

IEEE Access

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“…State of the art smart home technologies for elderly people using BCI have been proposed by Jafri et al (2019) and Chai et al (2020) . Both of the experiments of Jafri and Chai were conducted to test the feasibility of the smart home designs.…”

Section: How Can Bci Applications Improve the Quality Of Elderly Livimentioning

confidence: 99%

“…Although the result of attention level for the younger male reached attention level 74.78 within 26.20 s which was quicker than younger female and older people, the added value for this experiment is the elderly people still can control the function in a smart home using several BCI experimental paradigms ( Jafri et al, 2019 ). One of the smart home services is dialing the three emergency numbers specially designed for older people in hands-free mode using EMG and SSVEP ( Chai et al, 2020 ).…”

Section: How Can Bci Applications Improve the Quality Of Elderly Livimentioning

confidence: 99%

Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients

et al. 2020

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All people experience aging, and the related physical and health changes, including changes in memory and brain function. These changes may become debilitating leading to an increase in dependence as people get older. Many external aids and tools have been developed to allow older adults and elderly patients to continue to live normal and comfortable lives. This mini-review describes some of the recent studies on cognitive decline and motor control impairment with the goal of advancing non-invasive brain computer interface (BCI) technologies to improve health and wellness of older adults and elderly patients. First, we describe the state of the art in cognitive prosthetics for psychiatric diseases. Then, we describe the state of the art of possible assistive BCI applications for controlling an exoskeleton, a wheelchair and smart home for elderly people with motor control impairments. The basic age-related brain and body changes, the effects of age on cognitive and motor abilities, and several BCI paradigms with typical tasks and outcomes are thoroughly described. We also discuss likely future trends and technologies to assist healthy older adults and elderly patients using innovative BCI applications with minimal technical oversight.

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“…Previous studies confrmed the feasibility of using BCI technologies in a medical setting to aid elderly patients with multiple health issues [1], such as post-stroke rehabilitation [5], disorders of consciousness [18], and motor system issues (allowing them to operate a wheelchair [11] and a robotic knee exoskeleton [7]). Recently, researchers have shown a rising interest in utilizing BCI in Smart Home technology targeted at older users (as in Jafri et al [9] and Chai et al [2]). This direction promises a spectrum of possibilities for making a positive impact on older adults' lifestyle, accessibility to technology, and managing the symptoms of the ailments of old age.…”

Section: Related Workmentioning

confidence: 99%

Older Adults and Brain-Computer Interface: An Exploratory Study

Kopeć

Kowalski

Paluch

et al. 2021

Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

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In this exploratory study, we examine the possibilities of noninvasive Brain-Computer Interface (BCI) in the context of Smart Home Technology (SHT) targeted at older adults. During two workshops, one stationary, and one online via Zoom, we researched the insights of the end users concerning the potential of the BCI in the SHT setting. We explored its advantages and drawbacks, and the features older adults see as vital as well as the ones that they would beneft from. Apart from evaluating the participants' perception of such devices during the two workshops we also analyzed some key considerations resulting from the insights gathered during the workshops, such as potential barriers, ways to mitigate them, strengths and opportunities connected to BCI. These may be useful for designing BCI interaction paradigms and pinpointing areas of interest to pursue in further studies. CCS CONCEPTS• Human-centered computing → Interaction paradigms; HCI design and evaluation methods; Ubiquitous and mobile devices; • Social and professional topics → Seniors.

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A hybrid BCI-controlled smart home system combining SSVEP and EMG for individuals with paralysis

Cited by 43 publications

References 29 publications

Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, From Single Modal to Hybrid Modal, From Synchronous to Asynchronous

Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, From Single Modal to Hybrid Modal, From Synchronous to Asynchronous

Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients

Older Adults and Brain-Computer Interface: An Exploratory Study

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