Activities of Daily Living
- Citation Author(s):
- Submitted by:
- Walid Gomaa
- Last updated:
- DOI:
- 10.21227/H2PS74
- Data Format:
- Research Article Link:
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Abstract
Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living).
Dataset Files
- Data description (Size: 3.42 KB)
- Volunteers codes (Size: 56 bytes)
- IMU data for the activity: Climb the stairs (Size: 1.15 MB)
- IMU data for the activity: Descend the stairs (Size: 1.09 MB)
- IMU data for the activity: Eat with Fork and Knife (Size: 2.9 MB)
- IMU data for the activity: Drink from a glass (Size: 1.57 MB)
- IMU data for the activity: Eat with spoon (Size: 3.81 MB)
- IMU data for the activity: Getup from bed (Size: 629.61 KB)
- IMU data for the activity: Comb hair (Size: 3.56 MB)
- IMU data for the activity: Lie down on bed (Size: 428.82 KB)
- IMU data for the activity: Pour water into glass (Size: 2.33 MB)
- IMU data for the activity: Sit down on chair (Size: 1.05 MB)
- IMU data for the activity: Stand up from chair (Size: 1.05 MB)
- IMU data for the activity: Brush teeth (Size: 4.25 MB)
- IMU data for the activity: Use telephone (Size: 5.1 MB)
- IMU data for the activity: Walk (Size: 3.48 MB)
Hello,
I'm working on my senior project and I would really appreciate it if i had access to these datasets. thank you.