How about taking a low‐cost, small, and wireless <scp>EEG</scp> for a walk?

Debener, Stefan; Minow, Falk; Emkes, Reiner; Gandras, Katharina; Vos, Maarten De

doi:10.1111/j.1469-8986.2012.01471.x

Cited by 498 publications

(531 citation statements)

References 26 publications

(28 reference statements)

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“…Laboratory data using a mobile electroencephalography (EEG) headset (Emotiv EPOC+; validated for both laboratory and outdoor settings [17,18]) showed outputs that corresponded with self-reported measures on attractiveness, willingness to visit, valence and arousal of static images of landscapes or urban scenes [19]. This study used data from the Affectiv Suite, Emotiv proprietary software, which analyzes EEG from distinct brain activity patterns and allocates a label defining an emotional parameter ('frustration', 'excitement', 'engagement', 'meditation', 'long term excitement').…”

Section: Introductionmentioning

confidence: 99%

The Aging Urban Brain: Analyzing Outdoor Physical Activity Using the Emotiv Affectiv Suite in Older People

Neale

Aspinall²,

Roe

et al. 2017

J Urban Health

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This research directly assesses older people's neural activation in response to a changing urban environment while walking, as measured by electroencephalography (EEG). The study builds on previous research that shows changes in cortical activity while moving through different urban settings. The current study extends this methodology to explore previously unstudied outcomes in older people aged 65 years or more (n = 95). Participants were recruited to walk one of six scenarios pairing urban busy (a commercial street with traffic), urban quiet (a residential street) and urban green (a public park) spaces in a counterbalanced design, wearing a mobile Emotiv EEG headset to record real-time neural responses to place. Each walk lasted around 15 min and was undertaken at the pace of the participant. We report on the outputs for these responses derived from the Emotiv Affectiv Suite software, which creates emotional parameters ('excitement', 'frustration', 'engagement' and 'meditation') with a real-time value assigned to them. The six walking scenarios were compared using a form of high dimensional correlated component regression (CCR) on difference data, capturing the change between one setting and another. The results showed that levels of 'engagement' were higher in the urban green space compared to those of the urban busy and urban quiet spaces, whereas levels of 'excitement' were higher in the urban busy environment compared with those of the urban green space and quiet urban space. In both cases, this effect is shown regardless of the order of exposure to these different environments. These results suggest that

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Section: Introductionmentioning

confidence: 99%

The Aging Urban Brain: Analyzing Outdoor Physical Activity Using the Emotiv Affectiv Suite in Older People

Neale

Aspinall²,

Roe

et al. 2017

J Urban Health

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“…The EPOC system has also been successfully used to measure the response of cortical response to auditory stimulation (evoked potential, P3 component) [2,3] and visual stimulation [3,4]. The results indicated a high accuracy for ERP (event-related potential or evoked potential) peaks, ie.…”

Section: Emotiv Epoc Headset In Human-computer Interactionmentioning

confidence: 94%

The Emotiv EPOC interface paradigm in Human-Computer Interaction

2017

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Abstract.Numerous studies have suggested the use of decoded error potentials in the brain to improve human-computer communication.Together with state-of-the-art scientific equipment, experiments have also tested instruments with more limited performance for the time being, such as Emotiv EPOC. This study presents a review of these trials and a summary of the results obtained. However, the level of these results indicates a promising prospect for using this headset as a human-computer interface for error decoding.

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“…In another study [31], Emotiv Epoc was combined with a standard infracerebral electrode cap with Ag/AgCl electrodes. The result was a low-cost portable EEG system that was tested in an auditory oddball paradigm under sitting and walking conditions.…”

Section: Related Workmentioning

confidence: 99%

“…They are mainly marketed as gaming devices and provide a limited solution to the expensive equipment problems described above: they are wirelessly connected to an ordinary computer, 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 they require a short set-up time to adjust the electrodes to the user's scalp, and they do not require conductive gel. Recent research on evaluating the reliability of some of these low-cost EEG devices for research purposes has suggested that they are reliable for measuring visual and auditory evoked potentials [Duvinage, 2013;Debener, 2012;Badcock, 2013].…”

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confidence: 99%

A low-cost auditory multi-class brain-computer interface based on pitch, spatial and timbre cues

Vamvakousis

Ramírez

2013

Preprint

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P300-based brain-computer interfaces (BCIs) are especially useful for people with illnesses, which prevent them from communicating in a normal way (e.g. brain or spinal cord injury).However, most of the existing P300-based BCI systems use visual stimulation which may not be suitable for patients with sight deterioration (e.g. patients suffering from amyotrophic lateral sclerosis). Moreover, P300-based BCI systems rely on expensive equipment, which greatly limits their use outside the clinical environment. Therefore, we propose a multi-class BCI system based solely on auditory stimuli, which makes use of low-cost EEG technology.We explored different combinations of timbre, pitch and spatial auditory stimuli (TimPiSp:timbre-pitch-spatial, TimSp: timbre-spatial, and Timb: timbre-only) and three inter-stimulus intervals (150ms, 175ms and 300ms), and evaluated our system by conducting an oddball task on 7 healthy subjects. This is the first study in which these 3 auditory cues are compared. After averaging several repetitions in the 175ms inter-stimulus interval, we obtained average selection accuracies of 97.14%, 91.43%, and 88.57% for modalities TimPiSp, TimSp, and Timb, respectively. Best subject's accuracy was 100% in all modalities and inter-stimulus intervals. Average information transfer rate for the 150ms inter-stimulus interval in the TimPiSp modality was 14.85 bits/min. Best subject's information transfer rate was 39.96 bits/min for 175ms Timbre condition. Based on the TimPiSp modality, an auditory P300 speller was implemented and evaluated by asking users to type a 12-characters-long phrase. Six out of 7 users completed the task. The average spelling speed was 0.56 chars/min and best subject's performance was 0.84 chars/min. The obtained results show that the proposed auditory BCI is successful with healthy subjects and may constitute the basis for future implementations of more practical and affordable auditory P300-based BCI systems. PeerJ PrePrints

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How about taking a low‐cost, small, and wireless EEG for a walk?

Cited by 498 publications

References 26 publications

The Aging Urban Brain: Analyzing Outdoor Physical Activity Using the Emotiv Affectiv Suite in Older People

The Aging Urban Brain: Analyzing Outdoor Physical Activity Using the Emotiv Affectiv Suite in Older People

The Emotiv EPOC interface paradigm in Human-Computer Interaction

A low-cost auditory multi-class brain-computer interface based on pitch, spatial and timbre cues

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