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Fingerprinting-based wireless 3D localization for motion capture applications.

, , and . MobileHealth@MobiHoc, page 6. ACM, (2011)

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Body-Sensor-Network-Based Kinematic Characterization and Comparative Outlook of UPDRS Scoring in Leg Agility, Sit-to-Stand, and Gait Tasks in Parkinson's Disease., , , , , , , and . IEEE J. Biomed. Health Informatics, 19 (6): 1777-1793 (2015)Automatic UPDRS Evaluation in the Sit-to-Stand Task of Parkinsonians: Kinematic Analysis and Comparative Outlook on the Leg Agility Task., , , , , , and . IEEE J. Biomed. Health Informatics, 19 (3): 803-814 (2015)On the correlation between UPDRS scoring in the leg agility, sit-to-stand, and gait tasks for parkinsonians., , , , , , , and . BSN, page 1-6. IEEE, (2015)Assigning UPDRS Scores in the Leg Agility Task of Parkinsonians: Can It Be Done through BSN-based Kinematic Variables?, , , , , , and . CoRR, (2015)Fingerprinting-based wireless 3D localization for motion capture applications., , and . MobileHealth@MobiHoc, page 6. ACM, (2011)Low-Complexity Inertial Sensor-based Characterization of the UPDRS Score in the Gait Task of Parkinsonians., , , , , , , and . BODYNETS, ICST, (2014)Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach?, , , and . Sensors, 16 (12): 2138 (2016)On the Validity of Different Motion Capture Technologies for the Analysis of Running., , , , , , and . BioRob, page 1175-1180. IEEE, (2018)Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter., , , , and . AAAI, page 10063-10064. AAAI Press, (2019)Simple and robust BSN-based activity classification: winning the first BSN contest., and . ISABEL, page 34:1-34:5. ACM, (2011)