Synthetic Smart Home Dataset

<p>This dataset is derived from the van Kasteren dataset (van Kasteren, T., Noulas, A., Englebienne, G., Kr&ouml;se, B.: Accurate activity recognition in a home setting. In: Proceedings of the 10th International Conference on Ubiquitous Computing (UbiComp08), 2008) using a Markov model. The dataset has been validated with a conformance test, yielding positive results.</p> <p>The dataset comprises three columns:</p> <ol> <li><strong>Day</strong>: Represents the day number, with each row corresponding to a specific day.</li> <li><strong>Activities</strong>: Represents the sequence of activities performed on a given day. The activities are listed in the order they occurred. Each activity is denoted by a number corresponding to a specific action: <ul> <li>1: 'leave house'</li> <li>4: 'use toilet'</li> <li>5: 'take shower'</li> <li>10: 'go to bed'</li> <li>13: 'prepare breakfast'</li> <li>15: 'prepare dinner'</li> <li>17: 'get drink'</li> </ul> </li> <li><strong>Durations</strong>: Represents the duration (in minutes) for each corresponding activity in the "Activities" column.</li> </ol> <p>For example, on Day 1, the sequence of activities is recorded as <code>[4, 4, 10, 4, 1, 4, 4, 10, 4]</code>, with corresponding durations <code>[1, 1, 23.8, 1, 202.03, 1.81, 1, 25.86, 1.29]</code>. This indicates that on Day 1, the individual started by spending 1 minute using the toilet, followed by another 1 minute in the toilet, then 23.8 minutes in bed, and so on.</p>