How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls?
Published 2016 View Full Article
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Title
How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls?
Authors
Keywords
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Journal
SENSORS
Volume 16, Issue 6, Pages 800
Publisher
MDPI AG
Online
2016-06-02
DOI
10.3390/s16060800
References
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Related references
Note: Only part of the references are listed.- Physical activity using wrist-worn accelerometers: comparison of dominant and non-dominant wrist
- (2016) Olivier Dieu et al. CLINICAL PHYSIOLOGY AND FUNCTIONAL IMAGING
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- Competitive Live Evaluations of Activity-Recognition Systems
- (2015) Hristijan Gjoreski et al. IEEE PERVASIVE COMPUTING
- Physical Human Activity Recognition Using Wearable Sensors
- (2015) Ferhat Attal et al. SENSORS
- Machine learning for activity recognition: hip versus wrist data
- (2014) Stewart G Trost et al. PHYSIOLOGICAL MEASUREMENT
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- Long-Term Activity Recognition from Wristwatch Accelerometer Data
- (2014) Enrique Garcia-Ceja et al. SENSORS
- Unknown
- (2013) Simon Kozina Journal of Medical and Biological Engineering
- Activity Recognition Using a Single Accelerometer Placed at the Wrist or Ankle
- (2013) ANDREA MANNINI et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- Estimating Activity and Sedentary Behavior from an Accelerometer on the Hip or Wrist
- (2013) MARY E. ROSENBERGER et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
- (2013) Ricardo Chavarriaga et al. PATTERN RECOGNITION LETTERS
- Optimal Placement of Accelerometers for the Detection of Everyday Activities
- (2013) Ian Cleland et al. SENSORS
- Unknown
- (2012) HuiHsien Wu Journal of Medical and Biological Engineering
- Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls
- (2012) Fabio Bagalà et al. PLoS One
- Adaptive Body Posture Analysis for Elderly-Falling Detection with Multisensors
- (2010) Chin-Feng Lai et al. IEEE INTELLIGENT SYSTEMS
- Comparison of low-complexity fall detection algorithms for body attached accelerometers
- (2008) Maarit Kangas et al. GAIT & POSTURE
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