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Part 1: Document Description
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Citation |
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Title: |
HHAR Processed Data |
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Identification Number: |
doi:10.21979/N9/OWDFXO |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2022-05-27 |
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Version: |
1 |
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Bibliographic Citation: |
Ragab, Mohamed; Eldele, Emadeldeen, 2022, "HHAR Processed Data", https://doi.org/10.21979/N9/OWDFXO, DR-NTU (Data), V1 |
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Citation |
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Title: |
HHAR Processed Data |
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Identification Number: |
doi:10.21979/N9/OWDFXO |
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Authoring Entity: |
Ragab, Mohamed (Nanyang Technological University) |
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Eldele, Emadeldeen (Nanyang Technological University) |
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Software used in Production: |
Python |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Ragab, Mohamed |
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Access Authority: |
Eldele, Emadeldeen |
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Depositor: |
Ragab, Mohamed |
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Date of Deposit: |
2022-03-06 |
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Holdings Information: |
https://doi.org/10.21979/N9/OWDFXO |
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Study Scope |
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Keywords: |
Computer and Information Science, Engineering, Computer and Information Science, Engineering, Domain Adaptation, Human Activity Recognition |
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Abstract: |
The Heterogeneity Human Activity Recognition (HHAR) dataset has been collected from 9 different users using sensor readings from smartphones and smartwatches. In our experiments, we consider each user as a domain. We constructed 10 cross-domain scenarios from randomly selected users. We used the same smartphone device (Samsung) for all the selected users to reduce the heterogeneity |
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Kind of Data: |
Time series |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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HHAR_data_investigation.ipynb |
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Notes: |
application/x-ipynb+json |
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HHAR data_processing.ipynb |
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Notes: |
application/x-ipynb+json |
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test_0.pt |
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application/octet-stream |
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test_1.pt |
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application/octet-stream |
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test_2.pt |
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application/octet-stream |
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test_3.pt |
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application/octet-stream |
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test_4.pt |
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application/octet-stream |
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test_5.pt |
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application/octet-stream |
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test_6.pt |
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application/octet-stream |
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test_7.pt |
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application/octet-stream |
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test_8.pt |
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application/octet-stream |
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train_0.pt |
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application/octet-stream |
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train_1.pt |
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application/octet-stream |
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train_2.pt |
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application/octet-stream |
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train_3.pt |
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application/octet-stream |
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train_4.pt |
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application/octet-stream |
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train_5.pt |
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application/octet-stream |
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train_6.pt |
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application/octet-stream |
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train_7.pt |
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Notes: |
application/octet-stream |
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Label: |
train_8.pt |
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Notes: |
application/octet-stream |