Multimodal Lifelogging Dataset

Dobbins, C and Fairclough, S (2018) Multimodal Lifelogging Dataset. [Data Collection]

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The data collected included raw electrocardiography (ECG), photoplethysmogram (PPG), acceleration, GPS location and first-person photographs of the environment over a 10 day period during participant's daily commute to/from work in the northwest of England.

Creators: Dobbins, C and Fairclough, S
Uncontrolled Keywords: Mobile Computing, Pervasive Computing, Signal Processing, Physiological Measures, Lifelogging
Division: Computer Science & Mathematics
Field of Research: Information and computing sciences
Date Deposited: 18 Apr 2018 14:42
Last Modified: 07 Feb 2024 14:47
Alternative title: MMLP
Related resources:
Data collection method: Data collected up to 10 working days on commuter driving to and from their place of work. See the following publications: Chelsea Dobbins and Stephen Fairclough, “A Mobile Lifelogging Platform to Measure Anxiety and Anger During Real-Life Driving” in the 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom’17), Kona, Big Island, Hawaii, USA, 13th – 17th March, 2017, pp. 327–332. doi: Chelsea Dobbins and Stephen Fairclough, “Detecting Negative Emotions During Real-Life Driving via Dynamically Labelled Physiological Data” in 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom’18), Athens, Greece, 19th – 23rd March, 2018
Grant number: EP/M029484/1
Geographic coverage: Northwest UK
Resource language: English
Metadata language: English
Statement on legal, ethical and access issues: Owing to ethical concerns/the sensitive nature of this research, the data underlying this publication cannot be made openly available.
Collection period:
February 2016February 2017


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