Towards on-device dehydration monitoring using machine learning from wearable device's data
Creators
- 1. Qatar University
- 2. Community College Qatar
Description
Body signals data such as accelerometer, gyroscope, magnetometer, galvanic skin response, photoplethysmography, temperature and barometric pressure were recorded for 11 subjects using Shimmer3 GSR unit. Some data were recorded while fasting for periods reaching 15 hours without water or food intake in Muslims' fasting time (starting fasting time for each subject sample is recorded in fastingTimes.csv for each subject from which last drinking time can be calculated and for the other non-fasting samples, drinking was done in the last hour before recording the sample, so the last drinking time was set to be 1 hour.
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Files
shimmer-raw-dataset-dehydration.zip
Files
(1.1 GB)
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