UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 7, Issue 10, Pages 1101
Publisher
MDPI AG
Online
2017-10-24
DOI
10.3390/app7101101
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals
- (2018) Sebastian R. Vanrell et al. IEEE Journal of Biomedical and Health Informatics
- Analysis of Public Datasets for Wearable Fall Detection Systems
- (2017) Eduardo Casilari et al. SENSORS
- SisFall: A Fall and Movement Dataset
- (2017) Angela Sucerquia et al. SENSORS
- A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition
- (2017) Majid Janidarmian et al. SENSORS
- Wearable monitors for patients following discharge from an intensive care unit: practical lessons learnt from an observational study
- (2016) Emma Jeffs et al. JOURNAL OF ADVANCED NURSING
- Transition-Aware Human Activity Recognition Using Smartphones
- (2016) Jorge-L. Reyes-Ortiz et al. NEUROCOMPUTING
- Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection
- (2016) Eduardo Casilari et al. PLoS One
- The Effect of Personalization on Smartphone-Based Fall Detectors
- (2016) Carlos Medrano et al. SENSORS
- Wearable Sensor-Based Human Activity Recognition Method with Multi-Features Extracted from Hilbert-Huang Transform
- (2016) Huile Xu et al. SENSORS
- Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
- (2016) Francisco Ordóñez et al. SENSORS
- Design, implementation and validation of a novel open framework for agile development of mobile health applications
- (2015) Oresti Banos et al. Biomedical Engineering Online
- A comparison of public datasets for acceleration-based fall detection
- (2015) Raul Igual et al. MEDICAL ENGINEERING & PHYSICS
- Performance Evaluation of Smartphone Inertial Sensors Measurement for Range of Motion
- (2015) Quentin Mourcou et al. SENSORS
- Falls as anomalies? An experimental evaluation using smartphone accelerometer data
- (2015) Daniela Micucci et al. Journal of Ambient Intelligence and Humanized Computing
- Human fall detection on embedded platform using depth maps and wireless accelerometer
- (2014) Bogdan Kwolek et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones
- (2014) Carlos Medrano et al. PLoS One
- Comparison and Characterization of Android-Based Fall Detection Systems
- (2014) Rafael Luque et al. SENSORS
- Automatic Fall Monitoring: A Review
- (2014) Natthapon Pannurat et al. SENSORS
- Fusion of Smartphone Motion Sensors for Physical Activity Recognition
- (2014) Muhammad Shoaib et al. SENSORS
- A survey of video datasets for human action and activity recognition
- (2013) Jose M. Chaquet et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- World Medical Association Declaration of Helsinki
- (2013) JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Unknown
- (2013) Simon Kozina Journal of Medical and Biological Engineering
- Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset
- (2013) Heike Leutheuser et al. PLoS One
- Video capture of the circumstances of falls in elderly people residing in long-term care: an observational study
- (2012) Stephen N Robinovitch et al. LANCET
- A survey on fall detection: Principles and approaches
- (2012) Muhammad Mubashir et al. NEUROCOMPUTING
- Comparison of real-life accidental falls in older people with experimental falls in middle-aged test subjects
- (2011) M. Kangas et al. GAIT & POSTURE
- Personalization and user verification in wearable systems using biometric walking patterns
- (2011) Pierluigi Casale et al. Personal and Ubiquitous Computing
- Comparison of acceleration signals of simulated and real-world backward falls
- (2010) J. Klenk et al. MEDICAL ENGINEERING & PHYSICS
- HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
- (2009) Leonid Sigal et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Elderly persons’ perception and acceptance of using wireless sensor networks to assist healthcare
- (2009) Robert Steele et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Gaussian Process Dynamical Models for Human Motion
- (2007) J.M. Wang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Publish 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 MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now