Classification of human physical activity based on raw accelerometry data via spherical coordinate transformation
نویسندگان
چکیده
منابع مشابه
Imputation of missing data when measuring physical activity by accelerometry.
PURPOSE We consider the issue of summarizing accelerometer activity count data accumulated over multiple days when the time interval in which the monitor is worn is not uniform for every subject on every day. The fact that counts are not being recorded during periods in which the monitor is not worn means that many common estimators of daily physical activity are biased downward. METHODS Data...
متن کاملAn Activity Index for Raw Accelerometry Data and Its Comparison with Other Activity Metrics
Accelerometers have been widely deployed in public health studies in recent years. While they collect high-resolution acceleration signals (e.g., 10-100 Hz), research has mainly focused on summarized metrics provided by accelerometers manufactures, such as the activity count (AC) by ActiGraph or Actical. Such measures do not have a publicly available formula, lack a straightforward interpretati...
متن کاملPhysical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry
BACKGROUND Data on objectively measured physical activity are lacking in low- and middle-income countries. The aim of this study was to describe objectively measured overall physical activity and time spent in moderate-to-vigorous physical activity (MVPA) in individuals from the Pelotas (Brazil) birth cohorts, according to weight status, socioeconomic status (SES) and sex. METHODS All childre...
متن کاملAccelerometry-Based Classification of Human Activities Using Markov Modeling
Accelerometers are a popular choice as body-motion sensors: the reason is partly in their capability of extracting information that is useful for automatically inferring the physical activity in which the human subject is involved, beside their role in feeding biomechanical parameters estimators. Automatic classification of human physical activities is highly attractive for pervasive computing ...
متن کاملNormalization and extraction of interpretable metrics from raw accelerometry data.
We introduce an explicit set of metrics for human activity based on high-density acceleration recordings from a hip-worn tri-axial accelerometer. These metrics are based on two concepts: (i) Time Active, a measure of the length of time when activity is distinguishable from rest and (ii) AI, a measure of the relative amplitude of activity relative to rest. All measurements are normalized (have t...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2020
ISSN: 0277-6715,1097-0258
DOI: 10.1002/sim.8582