10.18710/EPCXCC Tørring, Marte Fossflaten Marte Fossflaten Tørring https://orcid.org/0000-0002-7029-226X NTNU – Norwegian University of Science and Technology Logacjov, Aleksej Aleksej Logacjov https://orcid.org/0000-0002-8834-1744 NTNU-Norwegian University of Science and Technology Ustad, Astrid Astrid Ustad NTNU-Norwegian University of Science and Technology Brændvik, Siri Merete Siri Merete Brændvik NTNU-Norwegian University of Science and Technology Roeleveld, Karin Karin Roeleveld NTNU-Norwegian University of Science and Technology Bardal, Ellen Marie Ellen Marie Bardal NTNU-Norwegian University of Science and Technology DataverseNO 2024 Medicine, Health and Life Sciences Computer and Information Science Human Activity Recognition Children Cerebral Palsy Accelerometer NTNU – Norwegian University of Science and Technology NTNU – Norwegian University of Science and Technology Tørring, Marte Fossflaten Marte Fossflaten Tørring NTNU – Norwegian University of Science and Technology Logacjov, Aleksej Aleksej Logacjov NTNU-Norwegian University of Science Brændvik, Siri Merete Siri Merete Brændvik Roeleveld, Karin Karin Roeleveld Bardal, Ellen Marie Ellen Marie Bardal Tørring, Marte Fossflaten Marte Fossflaten Tørring Ustad, Astrid Astrid Ustad Logacjov, Aleksej Aleksej Logacjov 2024-08-30 2024-08-28 2024-08-30 2024-09-25 sensor data 10.1371/JOURNAL.PONE.0308853 10.18710/EPCXCC/OSSAZW 10.18710/EPCXCC/OPUB9X 10.18710/EPCXCC/XB4XRK 10.18710/EPCXCC/UBONQM 10.18710/EPCXCC/GYXAEQ 10.18710/EPCXCC/U4XTND 10.18710/EPCXCC/8THXW0 10.18710/EPCXCC/ILLRKE 10.18710/EPCXCC/EO5ZAD 10.18710/EPCXCC/80BVZ3 10.18710/EPCXCC/2QFQGM 10.18710/EPCXCC/FBFMCN 10.18710/EPCXCC/AGHV9R 10.18710/EPCXCC/YIXRFN 10.18710/EPCXCC/EBFL14 10.18710/EPCXCC/11V75S 10.18710/EPCXCC/PMTZ25 10.18710/EPCXCC/JJ8DW3 10.18710/EPCXCC/G5IXXL 10.18710/EPCXCC/K1EVIV 10.18710/EPCXCC/3UETID 10.18710/EPCXCC/09NSAP 10.18710/EPCXCC/EORL7Y 10.18710/EPCXCC/81WBYM 10.18710/EPCXCC/67HNZV 10.18710/EPCXCC/SKDMWB 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text/comma-separated-values text/comma-separated-values text/comma-separated-values text/comma-separated-values text/comma-separated-values text/plain 1.1 Creative Commons CC0 1.0 Universal Public Domain Dedication. The data set include 63 typically developing (TD) children and 16 children with Cerebral Palsy(CP), Gross Motor Functions Classification System (GMFCS) I and II wearing two accelerometers, one on the lower back and one on the thigh, together with the corresponding video annotations of activities. The files includes accelerometer signal and annotation for each study subject. The files named 001-120 is individuals with CP, and the files named PM01-16 and TD01-48 are typically developing children. The study protocol was approved by the Regional Committee for Medical and Health research ethics (reference no. nr:2016/707/REK nord) and the Norwegian Center for Research Data (NSD-nr:50683). All participants and guardians signed a written informed consent before being enrolled in the study. The NTNU-HAR-children was used to validate a machine learning model for activity recognition in the paper "Validation of two novel human activity recognition models for typically developing children and children with Cerebral Palsy." (https://doi.org/10.1371/journal.pone.0308853). For code used in original paper see: https://github.com/ntnu-ai-lab/harth-ml-experiments. Trondheim, Norway Norwegian University of Science and Technology