Related references
Note: Only part of the references are listed.A survey of depth and inertial sensor fusion for human action recognition
Chen Chen et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2017)
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
Justin Salamon et al.
IEEE SIGNAL PROCESSING LETTERS (2017)
Highly Portable, Sensor-Based System for Human Fall Monitoring
Aihua Mao et al.
SENSORS (2017)
Inertial Sensor-Based Robust Gait Analysis in Non-Hospital Settings for Neurological Disorders
Can Tunca et al.
SENSORS (2017)
A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices
Daniele Ravi et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Human activity recognition with smartphone sensors using deep learning neural networks
Charissa Ann Ronao et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
Monitoring Activities of Daily Living in Smart Homes Understanding human behavior
Christian Debes et al.
IEEE SIGNAL PROCESSING MAGAZINE (2016)
Wearable Inertial Sensors Applications, Challenges, and Public Test Benches
Barbara Bruno et al.
IEEE ROBOTICS & AUTOMATION MAGAZINE (2015)
A High Reliability Wearable Device for Elderly Fall Detection
Paola Pierleoni et al.
IEEE SENSORS JOURNAL (2015)
Human motion based intent recognition using a deep dynamic neural model
Zhibin Yu et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2015)
Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit
Houde Dai et al.
SENSORS (2015)
Multilayer Joint Gait-Pose Manifolds for Human Gait Motion Modeling
Meng Ding et al.
IEEE TRANSACTIONS ON CYBERNETICS (2015)
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
Takaya Saito et al.
PLOS ONE (2015)
Human fall detection on embedded platform using depth maps and wireless accelerometer
Bogdan Kwolek et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2014)
Smartphones and Health Promotion: A Review of the Evidence
Fabrizio Bert et al.
JOURNAL OF MEDICAL SYSTEMS (2014)
Context-driven, Prescription-Based Personal Activity Classification: Methodology, Architecture, and End-to-End Implementation
James Y. Xu et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2014)
Eye Movement Analysis for Activity Recognition Using Electrooculography
Andreas Bulling et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2011)
Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers
Jhun-Ying Yang et al.
PATTERN RECOGNITION LETTERS (2008)
Cost-sensitive boosting for classification of imbalanced data
Yamnin Sun et al.
PATTERN RECOGNITION (2007)
Non-GPS navigation for security personnel and first responders
Lauro Ojeda et al.
JOURNAL OF NAVIGATION (2007)
On space-time interest points
I Laptev
INTERNATIONAL JOURNAL OF COMPUTER VISION (2005)
Two-dimensional PCA: A new approach to appearance-based face representation and recognition
J Yang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2004)
The recognition of human movement using temporal templates
AF Bobick et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2001)