| Description: | The data was generated with healthy participants simulating the class activities of performed. Data was collected from 6 participants using a tri-axial accelerometer on the dominant wrist whilst conducting 4 different activities. The four tasks, each of different length, are: WALKING includes different paces and gestures: walking slowing while gesturing, walking slowly, walking normal and walking fast, each of 30 seconds long. RUNNING includes running a 40 meters long corridor. SAWING with a saw and during 30 seconds. SEIZURE MIMICKING seated, with 5-6 sec before and 30 sec after the mimicked seizure. The seizure was 30 sec long. Each participant performs each activity 10 times at least. The mimicked seizures were trained and controlled, following a protocol defined by an medical expert. All the activities were carried out indoors, either inside an office or in the corridor around it. The sampling frequency was 16 Hz. Some activities lasted about 30 seconds, others are 1 minute long, others are about 2 minutes. Our standard practice for the archive is to truncate data to the length of the shortest series retained. We removed prefix and suffix flat series and truncated to the shortest series (20 measurements, approx 13 seconds), taking a random interval of activity for series longer than the minimum. A single case from the original (ID002 Running 16) was removed because the data was not collected correctly. After tidying the data we have a total of 275 cases. The train test split is divided into three participants for training, three for testing, with the IDs removed for consistency with the rest of the archive. Relevant Papers: [1] Villar JR, Vergara P, Menéndez M, de la Cal E, González VM, Sedano J. Generalized Models for the Classification of Abnormal Movements in Daily Life and its Applicability to Epilepsy Convulsion Recognition. Int J Neural Syst. 2016 Sep;26(6) 2016 |
