A Computational Pipeline for Activity Prediction Using Wearable Sensor Data.

Chuah J, Vancells-Lopez L, Loya AK, Bandara D, Drazan JF

DOI: 10.21203/rs.3.rs-9359112/v1
Published: 2026 Apr 24
Container: Research square
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-9359112/v1,
  title = {A Computational Pipeline for Activity Prediction Using Wearable Sensor Data.},
  author = {Chuah J and Vancells-Lopez L and Loya AK and Bandara D and Drazan JF},
  year = {2026},
  journal = {Research square},
  doi = {10.21203/rs.3.rs-9359112/v1},
  url = {https://doi.org/10.21203/rs.3.rs-9359112/v1}
}

RIS

TY  - JOUR
TI  - A Computational Pipeline for Activity Prediction Using Wearable Sensor Data.
AU  - Chuah J
AU  - Vancells-Lopez L
AU  - Loya AK
AU  - Bandara D
AU  - Drazan JF
PY  - 2026
JO  - Research square
DO  - 10.21203/rs.3.rs-9359112/v1
UR  - https://doi.org/10.21203/rs.3.rs-9359112/v1
ER  -

APA

J, C., L, V., AK, L., D, B., & JF, D. (2026). A Computational Pipeline for Activity Prediction Using Wearable Sensor Data.. Research square. https://doi.org/10.21203/rs.3.rs-9359112/v1

Source records

pubmed · retrieved 2026-09-26T14:58:14.046Z