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ASCC Activities of Daily Living Dataset
- Citation Author(s):
- Submitted by:
- Fei Liang
- Last updated:
- Tue, 12/05/2023 - 14:49
- DOI:
- 10.21227/sreb-z955
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- Keywords:
Abstract
Activities of daily living (ADLs) monitoring is essenitial in elderly field as it provides daily activities information for caregivers. In human daily life, different activities occur in various locations and generate distinct sounds and body movement. We can combine this kind of information to recognize the activities.
This dataset includes activities as long as the corresponding data: image, audio, motion. The data was collected from ASCCLab smarthome testbed, as shown in Figure 1. We mounted the wearable device shown in Figure 2 on the chest to collect image, audio and motion data.
The dataset follows the daily patterns of Milan in date 12/11/2009 from Casas project [1], which contains 14 activities. And the activities are between 08:46:27 to 22:48:49.
Activities of daily living (ADLs) monitoring is essenitial in elderly field as it provides daily activities information for caregivers. In human daily life, different activities occur in various locations and generate distinct sounds and body movement. We can combine this kind of information to recognize the activities.
This dataset includes activities as long as the corresponding data: image, audio, motion. The data was collected from ASCCLab smarthome testbed, as shown in Figure 1. We mounted the wearable device shown in Figure 2 on the chest to collect image, audio and motion data.
The dataset follows the daily patterns of Milan in date 12/11/2009 from Casas project [1], which contains 14 activities. And the activities are between 08:46:27 to 22:48:49.