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. 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. Each walk lasted around 15 min and was undertaken at the pace of the participant. 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. The current study extends this methodology to explore previously unstudied outcomes in older people aged 65 years or more ( n = 95). The study builds on previous research that shows changes in cortical activity while moving through different urban settings. This research directly assesses older people’s neural activation in response to a changing urban environment while walking, as measured by electroencephalography (EEG).
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