A review of accelerometry-based wearable motion detectors for physical activity monitoring.
about
Association between walking speed and age in healthy, free-living individuals using mobile accelerometry--a cross-sectional studyUsing Portable Transducers to Measure Tremor SeverityComparison of Non-Invasive Individual Monitoring of the Training and Health of Athletes with Commercially Available Wearable TechnologiesThe Rise of Consumer Health Wearables: Promises and BarriersPhysical Human Activity Recognition Using Wearable SensorsReview of fall risk assessment in geriatric populations using inertial sensorsConsiderations for development of sensing and monitoring tools to facilitate treatment and care of persons with lower-limb loss: a reviewUsing 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.A Review of Wearable Sensor Systems for Monitoring Body Movements of NeonatesEnvironmental perceptions and objective walking trail audits inform a community-based participatory research walking interventionComparing accelerometer, pedometer and a questionnaire for measuring physical activity in bronchiectasis: a validity and feasibility study?The development of a mobile monitoring and feedback tool to stimulate physical activity of people with a chronic disease in primary care: a user-centered designHow Sensors Might Help Define the External Exposome.A Review of Wearable Technologies for Elderly Care that Can Accurately Track Indoor Position, Recognize Physical Activities and Monitor Vital Signs in Real Time.Interactive wearable systems for upper body rehabilitation: a systematic reviewShort term Heart Rate Variability to predict blood pressure drops due to standing: a pilot study.Smart wearable body sensors for patient self-assessment and monitoring.Comparison and characterization of Android-based fall detection systems.Detecting falls with wearable sensors using machine learning techniques.Real-time human ambulation, activity, and physiological monitoring: taxonomy of issues, techniques, applications, challenges and limitations.Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review.Evaluation of prompted annotation of activity data recorded from a smart phoneAn Activity Index for Raw Accelerometry Data and Its Comparison with Other Activity Metrics.Using LS-SVM based motion recognition for smartphone indoor wireless positioning.Human behavior cognition using smartphone sensors.A Comparative Study on the Suitability of Smartphones and IMU for Mobile, Unsupervised Energy Expenditure Calculi.Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment.Evaluation of a smartphone human activity recognition application with able-bodied and stroke participants.Measurement of bed turning and comparison with age, gender, and body mass index in a healthy population: application of a novel mobility detection system.Posture and movement classification: the comparison of tri-axial accelerometer numbers and anatomical placement.Principal component analysis for ataxic gait using a triaxial accelerometer.An enhanced sensing application based on a flexible projected capacitive-sensing mattressA Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson's Disease Patients.Biomarkers for depression: recent insights, current challenges and future prospects.Could local dynamic stability serve as an early predictor of falls in patients with moderate neurological gait disorders? A reliability and comparison study in healthy individuals and in patients with paresis of the lower extremitiesA Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry.Orientation measurement based on magnetic inductance by the extended distributed multi-pole model.Using wireless technology in clinical practice: does feedback of daily walking activity improve walking outcomes of individuals receiving rehabilitation post-stroke? Study protocol for a randomized controlled trialA wearable inertial measurement unit for long-term monitoring in the dependency care area.
P2860
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P2860
A review of accelerometry-based wearable motion detectors for physical activity monitoring.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
A review of accelerometry-base ...... physical activity monitoring.
@ast
A review of accelerometry-base ...... physical activity monitoring.
@en
type
label
A review of accelerometry-base ...... physical activity monitoring.
@ast
A review of accelerometry-base ...... physical activity monitoring.
@en
prefLabel
A review of accelerometry-base ...... physical activity monitoring.
@ast
A review of accelerometry-base ...... physical activity monitoring.
@en
P2860
P356
P1433
P1476
A review of accelerometry-base ...... physical activity monitoring.
@en
P2093
Che-Chang Yang
Yeh-Liang Hsu
P2860
P304
P356
10.3390/S100807772
P407
P577
2010-08-20T00:00:00Z