ArticleScientific reports2023
Regulation of brain cognitive states through auditory, gustatory, and olfactory stimulation with wearable monitoring.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The Deep-Match Framework for Event-Related Potential Detection in EEG.Sensors (Basel, Switzerland) · 2026Article
- BreathSense: A Two-Stage Digital Framework for Student Stress Monitoring Using Personalized Breath-VOC Thresholding and In-the-Wild Validation.Behavioral sciences (Basel, Switzerland) · 2026Article
- A Holistic and Dynamic Network-Level View of the Autonomic Nervous System.Annual review of biomedical engineering · 2026Review
- Augmented State-Space Modeling and Control of Latent Arousal States Under Inhibitory and Excitatory Conditions.IEEE open journal of engineering in medicine and biology · 2026Article
- Binaural Pulse Modulation (BPM) as an Adjunctive Treatment for Anxiety: A Pilot Study.Brain sciences · 2025Article
- Cognitive arousal-based measures quantify insights from self-ratings in response to sensory stimuli.PLOS mental health · 2025Article
- Eye tracking is more sensitive than skin conductance response in detecting mild environmental stimuli.PNAS nexus · 2024Article
- Bayesian Inference of Hidden Cognitive Performance and Arousal States in Presence of Music.IEEE open journal of engineering in medicine and biology · 2024Article
- Unveiling productivity: The interplay of cognitive arousal and expressive typing in remote work.PloS one · 2024Article
- A multimodal dataset for investigating working memory in presence of music: a pilot study.Frontiers in neuroscience · 2024Article
Corrections and comments
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Inspired by advances in wearable technologies, we design and perform human-subject experiments. We aim to investigate the effects of applying safe actuation (i.e., auditory, gustatory, and olfactory) for the purpose of regulating cognitive arousal and enhancing the performance states. In two proposed experiments, subjects are asked to perform a working memory experiment called n-back tasks. Next, we incorporate listening to different types of music, drinking coffee, and smelling perfume as safe actuators. We employ signal processing methods to seamlessly infer participants' brain cognitive states. The results demonstrate the effectiveness of the proposed safe actuation in regulating the arousal state and enhancing performance levels. Employing only wearable devices for human monitoring and using safe actuation intervention are the key components of the proposed experiments. Our dataset fills the existing gap of the lack of publicly available datasets for the self-management of internal brain states using wearable devices and safe everyday actuators. This dataset enables further machine learning and system identification investigations to facilitate future smart work environments. This would lead us to the ultimate idea of developing practical automated personalized closed-loop architectures for managing internal brain states and enhancing the quality of life.
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