Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

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

(2022) Xin Cheng et al.   IEEE SENSORS JOURNAL

An Ensemble of Autonomous Auto-Encoders for Human Activity Recognition

(2021) Kemilly Dearo Garcia et al.   NEUROCOMPUTING

Text Recognition in the Wild

(2021) Xiaoxue Chen et al.   ACM COMPUTING SURVEYS

Multi-input CNN-GRU based human activity recognition using wearable sensors

(2021) Nidhi Dua et al.   COMPUTING

A time-efficient convolutional neural network model in human activity recognition

(2021) Marjan Gholamrezaii et al.   MULTIMEDIA TOOLS AND APPLICATIONS

On blockchain integration into mobile crowdsensing via smart embedded devices: A comprehensive survey

(2021) Zhiyan Chen et al.   JOURNAL OF SYSTEMS ARCHITECTURE

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

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

A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

(2021) Sravan Kumar Challa et al.   VISUAL COMPUTER

SPIDERS+: A light-weight, wireless, and low-cost glasses-based wearable platform for emotion sensing and bio-signal acquisition

(2021) Jingping Nie et al.   Pervasive and Mobile Computing

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

(2021) Dinh C. Nguyen et al.   IEEE Internet of Things Journal

Recurrent Neural Network for Human Activity Recognition in Embedded Systems Using PPG and Accelerometer Data

(2021) Michele Alessandrini et al.   Electronics

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

(2021) Wenbin Gao et al.   APPLIED SOFT COMPUTING

A federated learning system with enhanced feature extraction for human activity recognition

(2021) Zhiwen Xiao et al.   KNOWLEDGE-BASED SYSTEMS

ContrasGAN: Unsupervised domain adaptation in Human Activity Recognition via adversarial and contrastive learning

(2021) Andrea Rosales Sanabria et al.   Pervasive and Mobile Computing

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

(2021) Sen Qiu et al.   Information Fusion

A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors

(2020) Adrian Rubio-Solis et al.   NEUROCOMPUTING

Atypical Sample Regularizer Autoencoder for Cross-Domain Human Activity Recognition

(2020) Aria Ghora Prabono et al.   INFORMATION SYSTEMS FRONTIERS

Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors

(2020) Luis Sigcha et al.   SENSORS

Continuous angular position estimation of human ankle during unconstrained locomotion

(2020) Rohit Gupta et al.   Biomedical Signal Processing and Control

An Improved Performance of Deep Learning Based on Convolution Neural Network to Classify the Hand Motion by Evaluating Hyper Parameter

(2020) Triwiyanto Triwiyanto et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Classification of electromyographic hand gesture signals using machine learning techniques

(2020) Guangyu Jia et al.   NEUROCOMPUTING

Computer Vision Techniques in Construction: A Critical Review

(2020) Shuyuan Xu et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Human activity recognition using deep electroencephalography learning

(2020) Amirsaleh Salehzadeh et al.   Biomedical Signal Processing and Control

Designing Deep Reinforcement Learning Systems for Musculoskeletal Modeling and Locomotion Analysis Using Wearable Sensor Feedback

(2020) Jianian Zheng et al.   IEEE SENSORS JOURNAL

A unified generative model using generative adversarial network for activity recognition

(2020) Mang Hong Chan et al.   Journal of Ambient Intelligence and Humanized Computing

Multitask LSTM Model for Human Activity Recognition and Intensity Estimation Using Wearable Sensor Data

(2020) Onur Barut et al.   IEEE Internet of Things Journal

Transition-Aware Detection of Modes of Locomotion and Transportation Through Hierarchical Segmentation

(2020) Ali Akbari et al.   IEEE SENSORS JOURNAL

A Comprehensive Survey on Graph Neural Networks

(2020) Zonghan Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

Physical Activity Recognition With Statistical-Deep Fusion Model Using Multiple Sensory Data for Smart Health

(2020) Thien Huynh-The et al.   IEEE Internet of Things Journal

Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions

(2020) Hangwei Qian et al.   ARTIFICIAL INTELLIGENCE

A survey on security and privacy of federated learning

(2020) Viraaji Mothukuri et al.   Future Generation Computer Systems-The International Journal of eScience

Cross-subject transfer learning in human activity recognition systems using generative adversarial networks

(2020) Elnaz Soleimani et al.   NEUROCOMPUTING

Human activity recognition based on smartphone and wearable sensors using multiscale DCNN ensemble

(2020) Jessica Sena et al.   NEUROCOMPUTING

Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications

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

A Human Activity Recognition Algorithm Based on Stacking Denoising Autoencoder and LightGBM

(2019) Xile Gao et al.   SENSORS

A strain gauge based locomotion mode recognition method using convolutional neural network

(2019) Yanggang Feng et al.   ADVANCED ROBOTICS

A Comprehensive Survey of Deep Learning for Image Captioning

(2019) MD. Zakir Hossain et al.   ACM COMPUTING SURVEYS

Learning the signatures of the human grasp using a scalable tactile glove

(2019) Subramanian Sundaram et al.   NATURE

Universality of deep convolutional neural networks

(2019) Ding-Xuan Zhou   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

A hybrid deep convolutional and recurrent neural network for complex activity recognition using multimodal sensors

(2019) Mingqi Lv et al.   NEUROCOMPUTING

Attention-Based Convolutional Neural Network for Weakly Labeled Human Activities’ Recognition With Wearable Sensors

(2019) Kun Wang et al.   IEEE SENSORS JOURNAL

An Ultra-Low Energy Human Activity Recognition Accelerator for Wearable Health Applications

(2019) Ganapati Bhat et al.   ACM Transactions on Embedded Computing Systems

Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation

(2019) Nawadita Parajuli et al.   SENSORS

Incremental Learning to Personalize Human Activity Recognition Models: The Importance of Human AI Collaboration

(2019) Pekka Siirtola et al.   SENSORS

Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data

(2019) Konstantinos Kyritsis et al.   IEEE Journal of Biomedical and Health Informatics

Improving Pedestrian Safety in Cities Using Intelligent Wearable Systems

(2019) Stephen Xia et al.   IEEE Internet of Things Journal

Imaging and fusing time series for wearable sensor-based human activity recognition

(2019) Zhen Qin et al.   Information Fusion

A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare

(2019) Md. Zia Uddin et al.   Information Fusion

Deep Learning Models for Real-time Human Activity Recognition with Smartphones

(2019) Shaohua Wan et al.   MOBILE NETWORKS & APPLICATIONS

Deep Learning for Human Activity Recognition in Mobile Computing

(2018) Thomas Plotz et al.   COMPUTER

Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network

(2018) Han Byul Kim et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

(2018) Henry Friday Nweke et al.   EXPERT SYSTEMS WITH APPLICATIONS

A robust human activity recognition system using smartphone sensors and deep learning

(2018) Mohammed Mehedi Hassan et al.   Future Generation Computer Systems-The International Journal of eScience

Gesture Recognition With the Linear Optical Sensor and Recurrent Neural Networks

(2018) Krzysztof Czuszynski et al.   IEEE SENSORS JOURNAL

Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength

(2018) Lina Yao et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

HARKE: Human Activity Recognition from Kinetic Energy Harvesting Data in Wearable Devices

(2018) Sara Khalifa et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Deep Fisher discriminant learning for mobile hand gesture recognition

(2018) Ce Li et al.   PATTERN RECOGNITION

Deep learning for sensor-based activity recognition: A Survey

(2018) Jindong Wang et al.   PATTERN RECOGNITION LETTERS

Soft, stretchable, epidermal sensor with integrated electronics and photochemistry for measuring personal UV exposures

(2018) Yunzhou Shi et al.   PLoS One

Flexible Piezoelectric Sensor-Based Gait Recognition

(2018) Youngsu Cha et al.   SENSORS

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

(2018) Frédéric Li et al.   SENSORS

Novel approaches to human activity recognition based on accelerometer data

(2018) Artur Jordao et al.   Signal Image and Video Processing

An sEMG-Based Human–Robot Interface for Robotic Hands Using Machine Learning and Synergies

(2018) R. Meattini et al.   IEEE Transactions on Components Packaging and Manufacturing Technology

Deep Learning for Computer Vision: A Brief Review

(2018) Athanasios Voulodimos et al.   Computational Intelligence and Neuroscience

Analog Circuit Incipient Fault Diagnosis Method Using DBN Based Features Extraction

(2018) Chaolong Zhang et al.   IEEE Access

Activity Recognition for Cognitive Assistance Using Body Sensors Data and Deep Convolutional Neural Network

(2018) Md. Zia Uddin et al.   IEEE SENSORS JOURNAL

A CNN-SVM combined model for pattern recognition of knee motion using mechanomyography signals

(2018) Haifeng Wu et al.   JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY

Human Motion Recognition by Textile Sensors Based on Machine Learning Algorithms

(2018) Chi Vu et al.   SENSORS

Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques

(2018) Muhammad Zia ur Rehman et al.   SENSORS

Synthesizing and Reconstructing Missing Sensory Modalities in Behavioral Context Recognition

(2018) Aaqib Saeed et al.   SENSORS

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

(2018) Odongo Steven Eyobu et al.   SENSORS

Sequential Human Activity Recognition Based on Deep Convolutional Network and Extreme Learning Machine Using Wearable Sensors

(2018) Jian Sun et al.   Journal of Sensors

The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices

(2018) Hristijan Gjoreski et al.   IEEE Access

Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

(2018) Yu Zhao et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson’s Disease and Autism Spectrum Disorders

(2018) Nastaran Mohammadian Rad et al.   SENSORS

Recognizing Detailed Human Context in the Wild from Smartphones and Smartwatches

(2017) Yonatan Vaizman et al.   IEEE PERVASIVE COMPUTING

Active transport and obesity prevention – A transportation sector obesity impact scoping review and assessment for Melbourne, Australia

(2017) V. Brown et al.   PREVENTIVE MEDICINE

Deep Recurrent Neural Networks for Human Activity Recognition

(2017) Abdulmajid Murad et al.   SENSORS

Time-Elastic Generative Model for Acceleration Time Series in Human Activity Recognition

(2017) Mario Munoz-Organero et al.   SENSORS

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

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

Human activity recognition with smartphone sensors using deep learning neural networks

(2016) Charissa Ann Ronao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automated synchronization of driving data using vibration and steering events

(2016) Lex Fridman et al.   PATTERN RECOGNITION LETTERS

Recognition of Human Activities Using Continuous Autoencoders with Wearable Sensors

(2016) Lukun Wang   SENSORS

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

(2016) Francisco Ordóñez et al.   SENSORS

Multicolumn Bidirectional Long Short-Term Memory for Mobile Devices-Based Human Activity Recognition

(2016) Dapeng Tao et al.   IEEE Internet of Things Journal

Design, implementation and validation of a novel open framework for agile development of mobile health applications

(2015) Oresti Banos et al.   Biomedical Engineering Online

Monitoring eating habits using a piezoelectric sensor-based necklace

(2015) Haik Kalantarian et al.   COMPUTERS IN BIOLOGY AND MEDICINE

TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise

(2015) Zhilin Zhang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Fitbit®: An accurate and reliable device for wireless physical activity tracking

(2015) Keith M. Diaz et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Improving activity recognition using a wearable barometric pressure sensor in mobility-impaired stroke patients

(2015) Fabien Massé et al.   Journal of NeuroEngineering and Rehabilitation

A tutorial on human activity recognition using body-worn inertial sensors

(2014) Andreas Bulling et al.   ACM COMPUTING SURVEYS

Fusion of Smartphone Motion Sensors for Physical Activity Recognition

(2014) Muhammad Shoaib et al.   SENSORS

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

(2013) Ricardo Chavarriaga et al.   PATTERN RECOGNITION LETTERS

Correlates of physical activity: why are some people physically active and others not?

(2012) Adrian E Bauman et al.   LANCET

Comparative study on classifying human activities with miniature inertial and magnetic sensors

(2010) Kerem Altun et al.   PATTERN RECOGNITION

Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom

(2009) M. Bachlin et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE