Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation Article Swipe
Hui Wei
,
Maxwell A. Xu
,
Colin Samplawski
,
James M. Rehg
,
Santosh Kumar
,
Benjamin M. Marlin
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2406.18848
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2406.18848
Wearable sensors enable health researchers to continuously collect data pertaining to the physiological state of individuals in real-world settings. However, such data can be subject to extensive missingness due to a complex combination of factors. In this work, we study the problem of imputation of missing step count data, one of the most ubiquitous forms of wearable sensor data. We construct a novel and large scale data set consisting of a training set with over 3 million hourly step count observations and a test set with over 2.5 million hourly step count observations. We propose a domain knowledge-informed sparse self-attention model for this task that captures the temporal multi-scale nature of step-count data. We assess the performance of the model relative to baselines and conduct ablation studies to verify our specific model designs.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://pubmed.ncbi.nlm.nih.gov/39319220
- OA Status
- green
- References
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400141613
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400141613Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2406.18848Digital Object Identifier
- Title
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Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data ImputationWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-06-27Full publication date if available
- Authors
-
Hui Wei, Maxwell A. Xu, Colin Samplawski, James M. Rehg, Santosh Kumar, Benjamin M. MarlinList of authors in order
- Landing page
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https://pubmed.ncbi.nlm.nih.gov/39319220Publisher landing page
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2406.18848Direct OA link when available
- Concepts
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Imputation (statistics), Computer science, Wearable computer, Missing data, Data set, Scale (ratio), Data mining, Construct (python library), Wearable technology, Artificial intelligence, Machine learning, Programming language, Physics, Quantum mechanics, Embedded systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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1Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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