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A bag-of-words approach for assessing activities of daily living using wrist accelerometer data.

, , , , , , and . BIBM, page 678-685. IEEE Computer Society, (2017)

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A smartwatch-based framework for real-time and online assessment and mobility monitoring., , , , , , , , and . J. Biomed. Informatics, (2019)Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning., , , , , and . Sensors, 21 (10): 3352 (2021)Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?, , , , , and . Sensors, 22 (8): 3061 (2022)Transition Icons for Time-Series Visualization and Exploratory Analysis., , , , , and . IEEE J. Biomed. Health Informatics, 22 (2): 623-630 (2018)ROAMM: A software infrastructure for real-time monitoring of personal health., , , , , , , and . HealthCom, page 1-6. IEEE, (2016)Validation of a Zio XT Patch Accelerometer for the Objective Assessment of Physical Activity in the Atherosclerosis Risk in Communities (ARIC) Study., , , , , , , , , and . Sensors, 24 (3): 761 (February 2024)Wrist accelerometer shape feature derivation methods for assessing activities of daily living., , , , , and . BMC Medical Informatics Decis. Mak., 18 (S-4): 124:1-124:13 (2018)Adaptive walk detection algorithm using activity counts., , , , , and . BHI, page 161-164. IEEE, (2017)A bag-of-words approach for assessing activities of daily living using wrist accelerometer data., , , , , , and . BIBM, page 678-685. IEEE Computer Society, (2017)Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning., , , , , and . AMIA, AMIA, (2020)