PAAL ADL Accelerometry dataset
- 1. Universidad de Alicante, Spain
- 2. Università Politecnica delle Marche, Italy
Description
The PAAL ADL Accelerometry dataset has been acquired with a high-quality wearable multisensor device, the Empatica E4. In this dataset, among the signals collected by the sensors embedded in the Empatica E4, only the acceleration has been extracted to monitor the users performing different activities of daily living (ADLs). To promote the real-life acquisition procedure, subjects acted in their natural environment, with no instructions about how and for how long to perform each activity.
The dataset includes 24 different ADLs performed using real objects. Each activity was repeated between 3 and 5 times by 33 healthy subjects, characterized by a gender balance (19 females and 14 males), and a large age range (between 18 and 77 years, mean = 45.24 years and standard deviation = 18.24 years).
The PAAL ADL Accelerometry dataset is composed of three files:
- users.csv: each line contains (user id, gender, age) of each user performing the ADLs in the dataset
- ADLs.csv: each line contains (ADL id, ADL name)
- data.zip: folder with 3,794 files of accelerometer data of users performing ADLs. The name of each file indicates the name of the ADL, the user id and the repetition. Each row in the files represents the continuous gravitational force (g) applied to each of the three spacial dimensions (x, y, and z). The scale is limited to +-2g. The sampling frequency is 32 Hz, with a resolution of 0.015 g (8 bit). More information about the format here.