Dual-Tasking Effect on Gait Variability While Interacting with Mobile Devices
Date: December 30, 2022
Nº of Users: 30
Description: The dataset has a population of n = 30 (33.33% female and 66.67% male), without any gait pathology and with a mean age of 44.27 ± 19.55. The subjects had the following anthropometric measurements taken prior to testing: height, foot length, shoulder height, elbow span, wrist extension, knee height and ankle height. The experiment was carried out in a 24 m long and 3 m wide corridor with a wireless human motion tracker at the School of Computer Science of the University of Castilla-La Mancha, Ciudad Real. The system developed by Xsens, consists of 15 devices called (Motion Tracker Wireless), which can synchronize with a transmitter/receiver base (Awinda Station). The Awinda protocol uses 2.4 GHz and is based on the IEEE 802.15.4, with an accuracy of 10 us at a frequency of 60 Hz using 15 devices. Participants performed 15 activities (1 single task, 2 traditional dual-tasks and 12 mobile-based dual-tasks) while walking.
Interaction with an Affective and Cognitive Toy to Support Mood Disorders
Date: October 17, 2018
Nº of Users: 10
Description: The dataset is published in a one CSV per participant with 24 rows (one per dyad conversation, plus the header) and 10 columns for the different variables. The description of the 10 columns is as follows. The first column contains the iteration number that corresponds to the rest of the data. The second has the subject of the question, as per the emotion perception tryad (one’s emotional self-awareness, empathy and social-emotional skills), and the third shows if it was a direct or indirect question. The fourth column shows the expected emotion that is returned by the user’s answer, while the fifth shows the actual emotion detected. The sixth column contains the transcription by Watson’s Speech-To-Text of what the user said, the seventh column contains the translation to English of that transcription, and the eighth the question that was asked by the system. Finally, the ninth column is blank, to be filled with expert observations, and the tenth has the latency for each iteration. The dataset does not contain any identifying aspects of the users
Dataset: EEG data performing typical tasks with smartphone
Date: October 9, 2019
Nº of Users: 6
Description: Participants performed 12 tasks considered in the HuSBIT-10 taxonomy. EEG activity was recorded during each tasks for a 10-second interval (EEG segment). The task performed are: C1 Read a message that contains a poem, C2 Listen to a podcast from the daily news, C3 Watch a video, E1 Search for a given date in the calendar, E3 Switch off the data roaming in the device settings, E4 Search how to reach a given place (about 500 meters away) in the map from the current location, M2 Add and move an app shortcut (2 times), M4 Copy a message into the browser search box (Google widget), M5 Select one word, then two and, finally, two and a half words in a Wikipedia article, P1 Write down the places where you would go in a zombie apocalypse, P2 Create a voice message with the list of objects you would collect in a zombie apocalypse, P3 Take an artistic photo of one object around you.
EEG data performing typical tasks with smartphone V2
Date: February 7, 2020
Nº of Users: 26
Description: Participants performed 12 tasks considered in the HuSBIT-10 taxonomy. EEG activity was recorded during each tasks for a 10-second interval (EEG segment). The task performed are: C1 Read a message, C2 Listen to a voice recording, C3 Watch a video, E2 Count the number of beach umbrellas in a picture from Where's Wally?, E3 Switch off the data roaming in the device settings, E4 Search how to reach a given place (about 500 meters away) in the map from the current location, M2 Add and move an app shortcut (2 times), M4 Close all the Apps in the brackground, M5 Select one word, then two and, finally, two and a half words in a Wikipedia article, P1 Write down an excuse or justification for not attending with a meeting with someone, P2 Create a voice message answering a friend who has just written about cancelling the meeting, P3 Take an artistic photo of several object around you.
EEG data performing cognitive load typical tests (n-Back and Stroop)
Date: August 13, 2021
Nº of Users: 19
Description: This dataset contains data gathered during an experiment in which 19 participants completed n-Back test for n 1,2 & 3 and Stroop test for congruent color and text and incongruent color and text. The data contains is conformed by a EEG signals, as well as events during the tests. Every data is contained in .csv files and there are three types of files: EEG signals, n-back test events and Stroop test events