{"dataset":{"id":"61239","dataset_id":"on007537","name":"A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction","description":"This dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on007537","concept_doi":"10.82901/nemar.on007537","latest_version_doi":"10.82901/nemar.on007537.v1.0.0","created_at":"2026-06-30 12:01:39","updated_at":"2026-08-18 23:46:25","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction\",\n  \"description\": \"This dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.\",\n  \"methods_description\": \"Participants wore a 64-channel EEG cap and head-mounted eye tracker while simultaneous PPG and GSR were recorded. Two conditions were tested: a 10-minute naturalistic smartphone interaction task and a 5-minute standardized video viewing task. Hardware TTL synchronization pulses (five pulses at ~1-second intervals for session boundaries, additional pulses every 20 seconds) were embedded in EEG and eye-tracking streams for cross-modal temporal alignment. EEG event markers denoted condition onset/offset (S12/S13 for Smartphone Monitor, S22/S23 for Video Monitor).\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Prakash Mishra\": {},\n    \"Tapan K. Gandhi\": {},\n    \"Saurabh R. Gandhi\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"eye-tracking\"\n    },\n    {\n      \"term\": \"Photoplethysmography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D017156\"\n    },\n    {\n      \"term\": \"Galvanic Skin Response\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D005712\"\n    },\n    {\n      \"term\": \"smartphone interaction\"\n    },\n    {\n      \"term\": \"multimodal physiological signals\"\n    },\n    {\n      \"term\": \"TTL synchronization\"\n    },\n    {\n      \"term\": \"video viewing task\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on007537\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on007537\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds007537.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"Neuroimaging Dataset\",\n  \"modalities\": [\n    \"beh\",\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"6.6 GB (95 files)\"\n  ],\n  \"formats\": [\n    \".eeg\",\n    \".gz\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"e942196cbb45d48f57404c7e78ad1bbe1c9a780b6ed3cf98df186b5d8f8a3b55\"\n}","last_activity_at":"2026-06-30 12:01:39","source":"openneuro","source_id":"ds007537","subject_count":23,"modalities":"beh,eeg","age_min":20,"age_max":32,"file_size":6566443477,"total_files":267,"tasks":"phoneuse","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Prakash Mishra, Tapan K. Gandhi, Saurabh R. Gandhi","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007537-blue)](https://doi.org/10.82901/nemar.on007537)\n\nThis dataset contains multimodal physiological recordings acquired during smartphone interaction and video viewing conditions. The dataset includes simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) signals.\n\n## **Experimental Protocol**\n\nParticipants complete two experimental conditions while wearing a 64-channel EEG cap and a head-mounted eye tracker, with simultaneous PPG and GSR recordings:\n\n**Smartphone Monitor condition (10 min):**\nParticipants engage in naturalistic smartphone use using their personal devices. They are instructed to interact freely with one of their most frequently used applications (e.g., browsing, reading, or app interaction). No constraints are imposed on interaction style.\n\n**Video Monitor  condition (5 min):** \nParticipants view a standardized video presented on a monitor.\n\n## **Participants**\nNumber of participants: 23 (sub-01 to sub-23)\nParticipants are healthy adults. Detailed demographic and experimental information (age, sex, and smartphone application type) is provided on participants.tsv at the root of the dataset.\n\n## **Hardware Synchronization and Event Markers**\n\nSession boundaries are marked using hardware-based transistor–transistor logic (TTL) synchronization pulses. Five TTL pulses are delivered at ~1-second intervals to mark session onset and offset. Additional TTL pulses are generated every 20 seconds during the session. These triggers are embedded in both EEG and eye-tracking data streams, enabling precise temporal alignment across all modalities.\n\nEEG event markers are defined for two conditions: Smartphone Monitor (onset: S 12; offset: S 13) and Video Monitor (onset: S 22; offset: S 23).\n\nIn the eye-tracking data, session boundaries are identified using TTL bursts consisting of five pulses occuring at ~1-second intervals\nwith pulse characteristics (Type: sig; Direction: in; Value: 1.0). Additional synchronization pulses are present at ~20-second intervals during sessions. 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