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Relationship between dynamical characteristics of sit-to-walk motion and physical functions of elderly humans.

, , , , , , and . EMBC, page 871-875. IEEE, (2016)

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Feature Selection and Predictors of Falls with Foot Force Sensors Using KNN-Based Algorithms., , , , , , and . Sensors, 15 (11): 29393-29407 (2015)A Portable Wearable Inertial System for Rehabilitation Monitoring and Evaluation of Patients With Total Knee Replacement., , , , , , , and . Frontiers Neurorobotics, (2022)A wearable action recognition system based on acceleration and attitude angles using real-time detection algorithm., , , , , , , , and . EMBC, page 2385-2389. IEEE, (2017)Relationship between dynamical characteristics of sit-to-walk motion and physical functions of elderly humans., , , , , , and . EMBC, page 871-875. IEEE, (2016)Real-time Action Recognition and Fall Detection Based on Smartphone., , , , , and . EMBC, page 4418-4422. IEEE, (2018)A MAC protocol with high scalability for motion capture based on frequency division multiple and time division multiple access., , , , , , , , , and . EMBC, page 697-701. IEEE, (2017)Fall risk factors analysis based on sample entropy of plantar kinematic signal during stance phase., , , , , , , and . EMBC, page 4832-4836. IEEE, (2016)Elderly Fall Risk Prediction with Plantar Center of Force Using ConvLSTM Algorithm., , , and . CBS, page 36-41. IEEE, (2019)Stability region derived by center of mass for older adults during trivial movements., , , , and . Biomed. Signal Process. Control., (2021)Accurate Fall Detection Algorithm Based on SBPSO-SVM Classifier., , , , , , and . ICBBT, page 83-86. ACM, (2018)