Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 5 min ago
Peer-reviewedCC BY 4.0Scientific Reports

Enhanced labor activity recognition via wearable physiological signals: a comparative machine learning study

Related

  1. EVIORA-HAR: A multimodal dataset for elderly activity recognition and safety-controlled fall detection using wearable inertial sensors and multi-view cameras
    Iwan Kurnianto Wibowo, Chastine Fatichah, Nanik Suciati
    Data in briefPeer-reviewedCC BY-NCFull textEurope PMC
  2. UniHAR: A unified hierarchical transformer with multi-scale temporal modeling for wearable human activity recognition
    Memoona, Muhammad Haseeb Hashir, Sung Won Kim
    PLOS OnePeer-reviewedCC BYFull textNeuroscienceStatisticsPLOSEurope PMCPMC
  3. Dual-stream attention and feature fusion for human activity recognition via wearable sensors
    Jiangtao Fan, Anish Jindal, Amir Atapour-Abarghouei
    Scientific ReportsPeer-reviewedCC BY 4.0Full textGeneral medicineCrossrefDOAJ
  4. Driving-Context Classification from Wearable Physiological and Motion Signals During Real-World Driving
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
  5. The associations between wearable device feedback perception and athletes’ training load management behavior: the chain mediating role of physiological data literacy and recovery self-regulation
    Yufeng Han, Junli Fan
    Frontiers in psychologyPeer-reviewedCC BYFull textEurope PMC
BibTeX
@article{ali2026enhanced,
  title = {{Enhanced labor activity recognition via wearable physiological signals: a comparative machine learning study}},
  author = {Luqman Ali and Lujain Kuruvachalil and Medha Mohan Ambali Parambil and Abdul Rahman Masoud and MD Didarul Alam and Fady Alnajjar and Salah Bouktif and Hamad AlJassmi},
  journal = {Scientific Reports},
  year = {2026},
  month = nov,
  doi = {10.1038/s41598-026-79507-w},
  url = {https://www.nature.com/articles/s41598-026-79507-w},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Enhanced labor activity recognition via wearable physiological signals: a comparative machine learning study
AU  - Luqman Ali
AU  - Lujain Kuruvachalil
AU  - Medha Mohan Ambali Parambil
AU  - Abdul Rahman Masoud
AU  - MD Didarul Alam
AU  - Fady Alnajjar
AU  - Salah Bouktif
AU  - Hamad AlJassmi
PY  - 2026
DA  - 2026/11/07
JO  - Scientific Reports
DO  - 10.1038/s41598-026-79507-w
UR  - https://www.nature.com/articles/s41598-026-79507-w
SN  - 2045-2322
ER  -