Multi-Branch Attention-Based Grouped Convolution Network for Human Activity Recognition Using Inertial Sensors

Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices

(2022) Xin Cheng et al.   IEEE SENSORS JOURNAL

A Novel Deep Learning Bi-GRU-I Model for Real-Time Human Activity Recognition Using Inertial Sensors

(2022) Lina Tong et al.   IEEE SENSORS JOURNAL

Multiscale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors

(2022) Yin Tang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Sensor-Based Human Activity Recognition with Spatio-Temporal Deep Learning

(2021) Ohoud Nafea et al.   SENSORS

Block-Wise Training Residual Networks on Multi-Channel Time Series for Human Activity Recognition

(2021) Qi Teng et al.   IEEE SENSORS JOURNAL

Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review

(2021) E. Ramanujam et al.   IEEE SENSORS JOURNAL

Attention-Based Deep Learning Framework for Human Activity Recognition With User Adaptation

(2021) Davide Buffelli et al.   IEEE SENSORS JOURNAL

DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors

(2021) Wenbin Gao et al.   APPLIED SOFT COMPUTING

Human Complex Activity Recognition With Sensor Data Using Multiple Features

(2021) Ruohong Huan et al.   IEEE SENSORS JOURNAL

A lightweight neural network framework using linear grouped convolution for human activity recognition on mobile devices

(2021) Tianyi Liu et al.   JOURNAL OF SUPERCOMPUTING

The Layer-Wise Training Convolutional Neural Networks Using Local Loss for Sensor-Based Human Activity Recognition

(2020) Qi Teng et al.   IEEE SENSORS JOURNAL

A Convolutional Neural Network Approach to Classifying Activities Using Knee Instrumented Wearable Sensors

(2020) Riley A. Bloomfield et al.   IEEE SENSORS JOURNAL

ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications

(2020) Mohamed Abdel-Basset et al.   IEEE Internet of Things Journal

IoT Wearable Sensor and Deep Learning: An Integrated Approach for Personalized Human Activity Recognition in a Smart Home Environment

(2019) Valentina Bianchi et al.   IEEE Internet of Things Journal

Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori

(2019) Zhenghua Chen et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Res2Net: A New Multi-Scale Backbone Architecture

(2019) Shang-Hua Gao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

(2018) Andrey Ignatov   APPLIED SOFT COMPUTING

Deep learning for sensor-based activity recognition: A Survey

(2018) Jindong Wang et al.   PATTERN RECOGNITION LETTERS

Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors

(2016) Muhammad Shoaib et al.   SENSORS

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

(2016) Francisco Ordóñez et al.   SENSORS

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

(2013) Ricardo Chavarriaga et al.   PATTERN RECOGNITION LETTERS