Machine learning methods for classifying human physical activity from on-body accelerometers.

scientific article published in February 2010

Machine learning methods for classifying human physical activity from on-body accelerometers. is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/sensors/ManniniS10
P356DOI10.3390/S100201154
P8608Fatcat IDrelease_32cvbmoihfgblkckbdkhzjhcpy
P932PMC publication ID3244008
P698PubMed publication ID22205862
P5875ResearchGate publication ID51970052

P50authorAndrea ManniniQ56849303
Angelo Maria SabatiniQ85271299
P2860cites workA machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait dataQ30980453
Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture modelsQ31058731
A triaxial accelerometer and portable data processing unit for the assessment of daily physical activityQ36870067
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Basic walker-assisted gait characteristics derived from forces and moments exerted on the walker's handles: results on normal subjectsQ44921816
Methods to assess physical activity with special reference to motion sensors and accelerometersQ45242202
Numerical validation of linear accelerometer systems for the measurement of head kinematicsQ46912493
Pedestrian Tracking with shoe-mounted inertial sensorsQ48942479
An artificial neural network model of energy expenditure using nonintegrated acceleration signals.Q50953495
Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring.Q51279740
Computerized analysis of daily life motor activity for ambulatory monitoring.Q51647868
Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly.Q52013940
Statistical pattern recognition: a reviewQ56115964
Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopesQ62813408
Physical activity monitoring based on accelerometry: validation and comparison with video observationQ62813457
Accelerometry—A technique for the measurement of human body movementsQ69616790
Classification of waist-acceleration signals in a continuous walking recordQ73039474
Discrimination of walking patterns using wavelet-based fractal analysisQ78723015
Classification of basic daily movements using a triaxial accelerometerQ80905749
Assessment of walking features from foot inertial sensingQ81505926
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue2
P407language of work or nameEnglishQ1860
P921main subjectmachine learningQ2539
accelerometerQ192940
P304page(s)1154-1175
P577publication date2010-02-01
P1433published inSensorsQ3478643
P1476titleMachine learning methods for classifying human physical activity from on-body accelerometers
P478volume10

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