Falls as anomalies? An experimental evaluation using smartphone accelerometer data
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Falls as anomalies? An experimental evaluation using smartphone accelerometer data
Authors
Keywords
Fall detection, Anomaly detection, Novelty detection, Accelerometer data, Smartphone
Journal
Journal of Ambient Intelligence and Humanized Computing
Volume 8, Issue 1, Pages 87-99
Publisher
Springer Nature
Online
2015-12-30
DOI
10.1007/s12652-015-0337-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Anticipatory Mobile Computing
- (2015) Veljko Pejovic et al. ACM COMPUTING SURVEYS
- An enhanced fall detection system for elderly person monitoring using consumer home networks
- (2014) Jin Wang et al. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
- Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones
- (2014) Carlos Medrano et al. PLoS One
- Combining domain knowledge and machine learning for robust fall detection
- (2013) Violeta Mirchevska et al. EXPERT SYSTEMS
- A Survey on Ambient Intelligence in Healthcare
- (2013) Giovanni Acampora et al. PROCEEDINGS OF THE IEEE
- Smartphone-based solutions for fall detection and prevention: the FARSEEING approach
- (2013) S. Mellone et al. ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE
- Sensor-Based Activity Recognition
- (2012) Liming Chen et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- A survey on fall detection: Principles and approaches
- (2012) Muhammad Mubashir et al. NEUROCOMPUTING
- Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls
- (2012) Fabio Bagalà et al. PLoS One
- Fall Classification by Machine Learning Using Mobile Phones
- (2012) Mark V. Albert et al. PLoS One
- A smartphone-based fall detection system
- (2012) Stefano Abbate et al. Pervasive and Mobile Computing
- Detection of falls using accelerometers and mobile phone technology
- (2011) R. Y. W. Lee et al. AGE AND AGEING
- Comparison of acceleration signals of simulated and real-world backward falls
- (2010) J. Klenk et al. MEDICAL ENGINEERING & PHYSICS
- Mobile phone-based pervasive fall detection
- (2010) Jiangpeng Dai et al. Personal and Ubiquitous Computing
- Portable Preimpact Fall Detector With Inertial Sensors
- (2008) Ge Wu et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- A wearable system for pre-impact fall detection
- (2008) M.N. Nyan et al. JOURNAL OF BIOMECHANICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More