Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning

Deep learning for sensor-based activity recognition: A Survey

(2018) Jindong Wang et al.   PATTERN RECOGNITION LETTERS

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors

(2018) Frédéric Li et al.   SENSORS

Special issue on smart interactions in cyber-physical systems: Humans, agents, robots, machines, and sensors

(2018) Donghan Kim et al.   ETRI JOURNAL

Comprehensive architecture for intelligent adaptive interface in the field of single-human multiple-robot interaction

(2018) Mahdi Ilbeygi et al.   ETRI JOURNAL

Vector space based augmented structural kinematic feature descriptor for human activity recognition in videos

(2018) Sowmiya Dharmalingam et al.   ETRI JOURNAL

Human-like sign-language learning method using deep learning

(2018) Yangho Ji et al.   ETRI JOURNAL

Complex Activity Recognition using Acceleration, Vital Sign, and Location Data

(2018) Liangying Peng et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Empirical Study and Improvement on Deep Transfer Learning for Human Activity Recognition

(2018) Renjie Ding et al.   SENSORS

Extensible Hierarchical Method of Detecting Interactive Actions for Video Understanding

(2017) Jinyoung Moon et al.   ETRI JOURNAL

Motion Capture of the Human Body Using Multiple Depth Sensors

(2017) Yejin Kim et al.   ETRI JOURNAL

Recognizing Detailed Human Context in the Wild from Smartphones and Smartwatches

(2017) Yonatan Vaizman et al.   IEEE PERVASIVE COMPUTING

Kernel fusion based extreme learning machine for cross-location activity recognition

(2017) Zhelong Wang et al.   Information Fusion

Robust human activity recognition from depth video using spatiotemporal multi-fused features

(2017) Ahmad Jalal et al.   PATTERN RECOGNITION

Deep Recurrent Neural Networks for Human Activity Recognition

(2017) Abdulmajid Murad et al.   SENSORS

UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones

(2017) Daniela Micucci et al.   Applied Sciences-Basel

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

(2016) Francisco Ordóñez et al.   SENSORS

Wearable Sensor-Based Behavioral Anomaly Detection in Smart Assisted Living Systems

(2015) Chun Zhu et al.   IEEE Transactions on Automation Science and Engineering

Robust Biometric Recognition From Palm Depth Images for Gloved Hands

(2015) Binh P. Nguyen et al.   IEEE Transactions on Human-Machine Systems

Data Augmentation for Deep Neural Network Acoustic Modeling

(2015) Xiaodong Cui et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Unobtrusive Sensing and Wearable Devices for Health Informatics

(2014) Ya-Li Zheng et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer

(2014) Piyush Gupta et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Body Surface Context: A New Robust Feature for Action Recognition From Depth Videos

(2014) Yan Song et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

A Depth Video Sensor-Based Life-Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments

(2014) Ahmad Jalal et al.   SENSORS

Step Accumulation per Minute Epoch Is Not the Same as Cadence for Free-Living Adults

(2013) PHILIPPA MARGARET DALL 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

Sensor Positioning for Activity Recognition Using Wearable Accelerometers

(2011) Louis Atallah et al.   IEEE Transactions on Biomedical Circuits and Systems

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT