4.6 Article

Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

A survey of depth and inertial sensor fusion for human action recognition

Chen Chen et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2017)

Article Engineering, Electrical & Electronic

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

Justin Salamon et al.

IEEE SIGNAL PROCESSING LETTERS (2017)

Article Chemistry, Analytical

Highly Portable, Sensor-Based System for Human Fall Monitoring

Aihua Mao et al.

SENSORS (2017)

Article Computer Science, Information Systems

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)

Article Computer Science, Artificial Intelligence

Human activity recognition with smartphone sensors using deep learning neural networks

Charissa Ann Ronao et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Engineering, Electrical & Electronic

Monitoring Activities of Daily Living in Smart Homes Understanding human behavior

Christian Debes et al.

IEEE SIGNAL PROCESSING MAGAZINE (2016)

Article Automation & Control Systems

Wearable Inertial Sensors Applications, Challenges, and Public Test Benches

Barbara Bruno et al.

IEEE ROBOTICS & AUTOMATION MAGAZINE (2015)

Article Engineering, Electrical & Electronic

A High Reliability Wearable Device for Elderly Fall Detection

Paola Pierleoni et al.

IEEE SENSORS JOURNAL (2015)

Article Automation & Control Systems

Human motion based intent recognition using a deep dynamic neural model

Zhibin Yu et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2015)

Article Automation & Control Systems

Multilayer Joint Gait-Pose Manifolds for Human Gait Motion Modeling

Meng Ding et al.

IEEE TRANSACTIONS ON CYBERNETICS (2015)

Article Computer Science, Interdisciplinary Applications

Human fall detection on embedded platform using depth maps and wireless accelerometer

Bogdan Kwolek et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2014)

Review Health Care Sciences & Services

Smartphones and Health Promotion: A Review of the Evidence

Fabrizio Bert et al.

JOURNAL OF MEDICAL SYSTEMS (2014)

Article Computer Science, Information Systems

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)

Article Computer Science, Artificial Intelligence

Eye Movement Analysis for Activity Recognition Using Electrooculography

Andreas Bulling et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2011)

Article Computer Science, Artificial Intelligence

Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers

Jhun-Ying Yang et al.

PATTERN RECOGNITION LETTERS (2008)

Article Computer Science, Artificial Intelligence

Cost-sensitive boosting for classification of imbalanced data

Yamnin Sun et al.

PATTERN RECOGNITION (2007)

Article Engineering, Marine

Non-GPS navigation for security personnel and first responders

Lauro Ojeda et al.

JOURNAL OF NAVIGATION (2007)

Article Computer Science, Artificial Intelligence

On space-time interest points

I Laptev

INTERNATIONAL JOURNAL OF COMPUTER VISION (2005)

Article Computer Science, Artificial Intelligence

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)

Article Computer Science, Artificial Intelligence

The recognition of human movement using temporal templates

AF Bobick et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2001)