A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data.
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Physical Human Activity Recognition Using Wearable SensorsGait analysis using wearable sensorsUsing tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vulturesA spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle.An Engineering Perspective of External Cardiac Loop Recorder: A Systematic ReviewIdentifying physical activity type in manual wheelchair users with spinal cord injury by means of accelerometers.Reliability and validity of bilateral ankle accelerometer algorithms for activity recognition and walking speed after strokeSensor data acquisition and processing parameters for human activity classification.The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.Classification accuracies of physical activities using smartphone motion sensors.Classification of sporting activities using smartphone accelerometersFusion of smartphone motion sensors for physical activity recognition.Posture and movement classification: the comparison of tri-axial accelerometer numbers and anatomical placement.An accelerometry-based methodology for assessment of real-world bilateral upper extremity activity.Using smart phone sensors to detect transportation modes.Hierarchical, multi-sensor based classification of daily life activities: comparison with state-of-the-art algorithms using a benchmark dataset.SVM versus MAP on accelerometer data to distinguish among locomotor activities executed at different speeds.Physical Activities Monitoring Using Wearable Acceleration Sensors Attached to the Body.A wavelet-based approach to fall detectionFuzzy Computing Model of Activity Recognition on WSN Movement Data for Ubiquitous Healthcare MeasurementImpact of study design on development and evaluation of an activity-type classifierStep detection using multi- versus single tri-axial accelerometer-based systemsAutomatic Detection and Classification of Unsafe Events During Power Wheelchair Use.Human Behavior Analysis by Means of Multimodal Context Mining.Significant Change Spotting for Periodic Human Motion Segmentation of Cleaning Tasks Using Wearable Sensors.Analyzing body movements within the Laban Effort Framework using a single accelerometerCapture, learning, and classification of upper extremity movement primitives in healthy controls and stroke patients.Location-Enhanced Activity Recognition in Indoor Environments Using Off the Shelf Smart Watch Technology and BLE Beacons.A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans.Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study.A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks.Actigraphy features for predicting mobility disability in older adults.Optimal placement of accelerometers for the detection of everyday activities.The Mining Minds digital health and wellness framework.Feature selection methods for accelerometry-based seizure detection in children.Window size impact in human activity recognition.Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions.An activity recognition model using inertial sensor nodes in a wireless sensor network for frozen shoulder rehabilitation exercises.Automatic identification of physical activity types and sedentary behaviors from triaxial accelerometer: laboratory-based calibrations are not enough.Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone.
P2860
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P2860
A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data.
description
2008 nî lūn-bûn
@nan
2008 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
A comparison of feature extrac ...... ities from accelerometer data.
@ast
A comparison of feature extrac ...... ities from accelerometer data.
@en
type
label
A comparison of feature extrac ...... ities from accelerometer data.
@ast
A comparison of feature extrac ...... ities from accelerometer data.
@en
prefLabel
A comparison of feature extrac ...... ities from accelerometer data.
@ast
A comparison of feature extrac ...... ities from accelerometer data.
@en
P2093
P1476
A comparison of feature extrac ...... ities from accelerometer data.
@en
P2093
David Howard
John Yannis Goulermas
Laurence P J Kenney
Stephen J Preece
P304
P356
10.1109/TBME.2008.2006190
P577
2008-10-31T00:00:00Z