Bed Position Using Panal Sensor Preliminary Dataset
(Bed position preliminary dataset)
-Bed sensor PROJECT-
DISCRIPTION
A bed position dataset was prepared by Virach Sornlerlamvaich's laboratory from Sirindhorn International Institute of Technology, Thammasat University, Thailand.
There are four main signal types in the raw data: piezoelectric left (p0), piezoelectric right(p1), weight left (w0), weight right(w1). This means that there are a total of four variables for each time step. Each series of data has been partitioned into 1 seconds of data, or 30 time steps. This means that one row of data has (30 * 4), or 120 elements. The data was collected from 5 subjects performing 5 bed positions on a bed which panel sensor appiled. The panel sensor is equipped with two types of sensors, i.e. piezoelectric, force resistive sensor.
The 5 bed positions were as follows:
• off-bed
• sitting
• lying center
• lying left
• lying right.
The position data recorded was the piezoelectric left (p0), piezoelectric right(p1), weight left (w0), weight right(w1) from panel sensor. Observations were recorded at 30 Hz (i.e. 30 data points per second). Each subject performed the sequence of off-bed, sitting, center, left, center, right, center, sitting, off-bed. Video was recorded of each subject performing the movement data was labeled manually from these videos. The input data is in CSV format where columns are separated by whitespace. The attribute of column name are tabulated in to a squence of p0, w0, p1, w1. The last column is labels.
Reference: Waranrach Viriyavit and Virach Sornlertlamvanich. Data Labeling Scheme for Bed Position Classification, Proceedings of the 29th International Conference on Information Modelling and Knowledge Bases (EJC2019), Lappeenranta, Finland, June 3-7, 2019, pp. 222-237
DATA
CSV
S1_f3cf54a0c4
S1 f3cf54a0c4
CSV Table
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S2_0c61a3b8c1
S2 0c61a3b8c1
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S3_0c44230824
s3 0c44230824
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S4_f137642fcb
S4 f137642fcb
CSV Table
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S5_df994f7fb6
S5 df994f7fb6
CSV Table
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