Combining skeleton and accelerometer data for human fine-grained activity recognition and abnormal behaviour detection with deep temporal convolutional networks

Temporal Convolutional Networks for Multiperson Activity Recognition Using a 2-D LIDAR

(2020) Fei Luo et al.   IEEE Internet of Things Journal

Evaluating fusion of RGB-D and inertial sensors for multimodal human action recognition

(2019) Javed Imran et al.   Journal of Ambient Intelligence and Humanized Computing

Multi-Sensor Fusion for Activity Recognition—A Survey

(2019) Antonio A. Aguileta et al.   SENSORS

Human Action Recognition Using Deep Multilevel Multimodal (${M}^{2}$ ) Fusion of Depth and Inertial Sensors

(2019) Zeeshan Ahmad et al.   IEEE SENSORS JOURNAL

Real-time human activity recognition from accelerometer data using Convolutional Neural Networks

(2018) Andrey Ignatov   APPLIED SOFT COMPUTING

Action Detection and Recognition in Continuous Action Streams by Deep Learning-Based Sensing Fusion

(2018) Neha Dawar et al.   IEEE SENSORS JOURNAL

Classifier Personalization for Activity Recognition using Wrist Accelerometers

(2018) Andrea Mannini et al.   IEEE Journal of Biomedical and Health Informatics

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

(2016) Francisco Ordóñez et al.   SENSORS

A Human Activity Recognition System Using Skeleton Data from RGBD Sensors

(2016) Enea Cippitelli et al.   Computational Intelligence and Neuroscience

Physical Human Activity Recognition Using Wearable Sensors

(2015) Ferhat Attal et al.   SENSORS

Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition

(2014) Kui Liu et al.   IEEE SENSORS JOURNAL

Realistic Human Action Recognition With Multimodal Feature Selection and Fusion

(2013) Qiuxia Wu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Rapid specification and automated generation of prompting systems to assist people with dementia

(2010) Jesse Hoey et al.   Pervasive and Mobile Computing