SleepPoseNet: Multi-View Multi-Task Learning for Sleep Postural Transition Recognition Using UWB
Maytus Piriyajitakonkij(Vidyasirimedhi Institute of Science and Technology), Theerawit Wilaiprasitporn(Vidyasirimedhi Institute of Science and Technology), Theerasarn Pianpanit(Kasetsart University), Payongkit Lakhan(Vidyasirimedhi Institute of Science and Technology), Nattee Niparnan, Subhas Chandra Mukhopadhyay(Macquarie University), Pitshaporn Leelaarporn(University Hospital Bonn), Patchanon Warin
arXiv (Cornell University)
May 2, 2020
Cited by 1
Related Papers
Consumer Grade EEG Measuring Sensors as Research Tools: A Review
|IEEE Sensors Journal|2019|268
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
|IEEE Transactions on Biomedical Engineering|2021|175
EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection
|IEEE Transactions on Industrial Informatics|2021|159
Graphene-based wearable temperature sensors: A review
|Materials & Design|2022|147
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting
|IEEE Sensors Journal|2020|117