Awesome Human Activity Recognition (mainly related/interacted to SENSOR data)

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Acknowledgment

Many thanks to the useful publications and repos: Jingdong Wang, Awesome-Deep-Vision, Awesome-Deep-Learning-Papers, Awesome-Self-Supervised-Learning, Awesome-Semi-Supervised-Learning and Awesome-Crowd-Counting.

Contributing

Please feel free to contribute this list.

Conferences and Journals

IJCAI, ACM MultiMedia, AAAI, KDD, ICDM, TKDE, TIP, TNNLS, TPAMI, TMM, Pattern Recognition, AI, Nature Communication, ICPR, Sensors, Ubicomp(IMWUT Journal)

Datasets

mHealth [link]
Opportunity [link]
PAMAP2 [link]
GOTOV [link]
REALDISP [link]
UCIDSADS [link]
MMAct [link]
TotalCapture [link]
WISDM [link]
MotionSense [link]
MobiAct [link]
Fenland [link]
Salad 50 [link]
DIP [link]
LARa [link]

Tools

SimTK [link]
OpenSense [link]

Potential Research Direction

Large-Scale/Diverse Dataset Research
Multi-Modality: sensor-vision, sensor-skeleton, sensor-3DPose, Sensor-Motion
window selection
Generative Model: e.g., cross modality data generation, IMU2Skeleton
Handling the NULL-Class problem
Open-World, Real-World: complex/non-repetitive activities
Advanced model
Data-cental: active learning, unsupervised learning, semi-supervised learning, self-supervised learning
Actiion Segmentation
Are the existing settings/models reliable?
Graph Representation
Motion-Capture, Kinetic
Privacy related
Interpretability
Data Imbalance
Domain Adaptation
Fine-Grained
Multi-Label
Federated Learning
Ensemble
Knowledge Integragation/distillation

Papers

Surveys & Overview

A Survey on Deep Learning for Human Activity Recognition (ACM Computing Surveys (CSUR)) [paper]
Applying Machine Learning for Sensor Data Analysis in Interactive Systems: Common Pitfalls of Pragmatic Use and Ways to Avoid Them (ACM Computing Surveys (CSUR)) [paper]
[DL4SAR] Deep Learning for Sensor-based Activity Recognition: A Survey (Pattern Recognition Letters) [paper][code]
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities (ACM Computing Surveys (CSUR)) [paper]
Human Action Recognition from Various Data Modalities: A Review (IEEE TPAMI 2022) [paper] top AI Journal

2022

Human Action Recognition from Various Data Modalities: A Review (IEEE TPAMI 2022 (top AI Journal))
Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition
Resource-Efficient Continual Learning for Sensor-Based Human Activity Recognition
Beyond the Gates of Euclidean Space: Temporal-Discrimination-Fusions and Attention-based Graph Neural Network for Human Activity Recognition
LiteHAR: LIGHTWEIGHT HUMAN ACTIVITY RECOGNITION FROM WIFI SIGNALS WITH RANDOM CONVOLUTION KERNELS
A Review on Topological Data Analysis in Human Activity Recognition
Deep CNN-LSTM with Self-Attention Model for Human Activity Recognition using Wearable Sensor
Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition
Federated Multi-Task Learning
Unsupervised Human Activity Recognition Using the Clustering Approach: A Review
Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
ROBUST AND EFFICIENT UNCERTAINTY AWARE BIOSIGNAL CLASSIFICATION VIA EARLY EXIT ENSEMBLES
Machine learning detects altered spatial navigation features in outdoor behaviour of Alzheimer’s disease patients
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes
Segmentation-free Heart Pathology Detection Using Deep Learning
Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
Method and system for automatic extraction of virtual on-body inertial measurement units
Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
Detecting Smartwatch-Based Behavior Change in Response to a Multi-Domain Brain Health Intervention
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
Multi-scale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors
Improving Wearable-Based Activity Recognition Using Image Representations
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
A recurrent neural network architecture to model physical activity energy expenditure in older people
Application of artificial intelligence in wearable devices: Opportunities and challenges
A Close Look into Human Activity Recognition Models using Deep Learning
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers
CogAx: Early Assessment of Cognitive and Functional Impairment from Accelerometry
Deep Temporal Conv-LSTM for Activity Recognition
Human Activity Recognition from Wearable Sensor Data Using Self-Attention
Combined deep centralized coordinate learning and hybrid loss for human activity recognition
Real-time human activity recognition using conditionally parametrized convolutions on mobile and wearable devices
Proposing a Fuzzy Soft‐max‐based classifier in a hybrid deep learning architecture for human activity recognition
HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data
Sensor-based human activity recognition using fuzzified deep CNN architecture with λmax method
WearRF-CLA: Continuous Location Authentication with Wrist Wearables and UHF RFID
Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition
Improving the Performance of Open-Set Classification in Human Activity Recognition by Applying a Residual Neural Network Architecture
A Review on Topological Data Analysis in Human Activity Recognition
UBIWEAR: An End-To-End Framework for Intelligent Physical Activity Prediction With Machine and Deep Learning
High-Precision and Personalized Wearable Sensing Systems for Healthcare Applications
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
DANA: Dimension-Adaptive Neural Architecture
DeXAR: Deep Explainable Sensor-Based Activity Recognition in Smart-Home Environments
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition
The Severity Prediction of The Binary And Multi-Class Cardiovascular Disease -- A Machine Learning-Based Fusion Approach
An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition
Machine Learning on Clinical Time Series: Classification and Representation Learning
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition
What Makes Good Contrastive Learning on Small-scale Wearable-based Tasks?
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data,
IMU2Doppler: Cross-Modal Domain Adaptation for Doppler-based Activity Recognition Using IMU Data
A CNN-based Human Activity Recognition System Combining a Laser Feedback Interferometry Eye Movement Sensor and an IMU for Context-aware Smart Glasses
Winect: 3D Human Pose Tracking for Free-form Activity Using Commodity WiFi
Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings
KATN: Key Activity Detection via Inexact Supervised Learning
Fusing Visual and Inertial Sensors with Semantics for 3D Human Pose Estimation
Multi-gat: A graphical attention-based hierarchical multimodal representation learning approach for human activity recognition
Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition
Human action recognition from various data modalities: A review
Eldersim: A synthetic data generation platform for human action recognition in eldercare applications
Home action genome: Cooperative compositional action understanding
Cross-modal Knowledge Distillation for Vision-to-Sensor Action Recognition
Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention
Disentanglement Approach for Video Action Recognition
Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition
Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art

2021

Approaching the Real-World: Supporting Activity Recognition Training with Virtual IMU Data [paper]
Can You See It? Good, So We Can Sense It! [paper]
An Ensemble of ConvTransformer Networks for the Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge [paper]
Fast Deep Neural Architecture Search for Wearable Activity Recognition by Early Prediction of Converged Performance [paper]
Human Activity Recognition Based on Acceleration Data From Smartphones Using HMMs [paper]
On the Role of Context Length for Feature Extraction and Sequence Modeling in Human Activity Recognition [paper]
ObscureNet: Learning Attribute-invariant Latent Representation for Anonymizing Sensor Data [paper]
SenseCollect: We Need Efficient Ways to Collect On-body Sensor-based Human Activity Data! [paper]
Self-supervised Learning for Reading Activity Classification [paper]
Approaching the Real-World: Supporting Activity Recognition Training with Virtual IMU Data [paper]
Reducing Muscle Activity when Playing Tremolo by Using Electrical Muscle Stimulation to Learn Efficient Motor Skills [paper]
Pushing the Limits of Long Range Wireless Sensing with LoRa [paper]
CardiacWave: A mmWave-based Scheme of Non-Contact and High-Definition Heart Activity Computing [paper]
Multimodal Federated Learning [paper]
A Deep Learning-Based Framework for Human Activity Recognition in Smart Homes [paper]
Interactive Hybrid Intelligence Systems for Human-Ai/Robot Collaboration: Improving the Practices of Physical Stroke Rehabilitation [paper]
Continual Activity Recognition with Generative Adversarial Networks [paper]
A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data [paper]
Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition [paper]
ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition (MobiSys) [paper]
Improving Deep Learning for HAR with shallow LSTMs (ISWC/ubicomp) [paper]
Contrastive Predictive Coding for Human Activity Recognition (IMWUT/ubicomp) [paper]
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data (IMWUT/ubicomp) [paper]
Watching Your Phone's Back: Gesture Recognition by Sensing Acoustical Structure-borne Propagation (IMWUT/ubicomp) [paper]
ApneaDetector: Detecting Sleep Apnea with Smartwatches (IMWUT/ubicomp) [paper]
NeckFace: Continuously Tracking Full Facial Expressions on Neck-mounted Wearables (IMWUT/ubicomp) [paper]
We Hear Your PACE: Passive Acoustic Localization of Multiple Walking Persons (IMWUT/ubicomp) [paper]
mTeeth: Identifying Brushing Teeth Surfaces Using Wrist-Worn Inertial Sensors (IMWUT/ubicomp) [paper]
Acoustic-based Upper Facial Action Recognition for Smart Eyewear (IMWUT/ubicomp) [paper]
Two-Stream Convolution Augmented Transformer for Human Activity Recognition (AAAI2021) [paper]
Unsupervised Human Activity Representation Learning with Multi-task Deep Clustering (IMWUT/ubicomp) [paper]
Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors (IMWUT/ubicomp) [paper]
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data (IMWUT/ubicomp) [paper]
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition (AAAI 2021) [paper]
Weakly-Supervised Sensor-based Activity Segmentation and Recognition via Learning from Distributions (Artificial Intelligence (AIJ)) [paper]

2020

GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion (IMWUT/ubicomp) [paper]
METIER: A Deep Multi-Task Learning Based Activity and User Recognition Model Using Wearable Sensors (IMWUT/ubicomp) [paper]
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition (AAAI 2020) [paper]
Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning (IMWUT/ubicomp) [paper]
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model [arXiv]
Towards Deep Clustering of Human Activities from Wearables (ISWC/ubicomp) [paper]
[UDA4HAR] A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition (IMWUT/ubicomp) [paper]
Adversarial Multi-view Networks for Activity Recognition (IMWUT/ubicomp) [paper]
Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables (IMWUT/ubicomp) [paper]
[IMUTube] IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition (IMWUT/ubicomp) [paper]
Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs (IMWUT/ubicomp) [paper]
Masked reconstruction based self-supervision for human activity recognition (ISWC/ubicomp) [paper]
Digging deeper: towards a better understanding of transfer learning for human activity recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs (ISWC/ubicomp) [paper]
IndRNN based long-term temporal recognition in the spatial and frequency domain (ISWC/ubicomp) [paper]
Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning (ISWC/ubicomp) [paper]
DenseNetX and GRU for the sussex-huawei locomotion-transportation recognition challenge (ISWC/ubicomp) [paper]

2019

A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition (IJCAI) [paper][code]
Learning Bodily and Temporal Attention in Protective Movement Behavior Detection
[AttnSense] AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition (IJCAI) [paper]
Multi-agent Attentional Activity Recognition (IJCAI) [paper][code]
Distribution-based Semi-Supervised Learning for Activity Recognition (AAAI) [paper][code]
On the Role of Features in Human Activity Recognition (ISWC/ubicomp) [paper]
Handling Annotation Uncertainty in Human Activity Recognition (ISWC/ubicomp) [paper]
Leveraging Active Learning and Conditional Mutual Information to Minimize Data Annotation in Human Activity Recognition (IMWUT/ubicomp) [paper]

[Vision2Sensor] Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition (IMWUT/ubicomp) [paper]
How Does a Nation Walk? Interpreting Large-Scale Step Count Activity with Weekly Streak Patterns (IMWUT/ubicomp) [paper]

2018

Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention (ISWC/ubicomp) [paper]
On specialized window lengths and detector based human activity recognition (ISWC/ubicomp) [paper]
Adding structural characteristics to distribution-based accelerometer representations for activity recognition using wearables (ISWC/ubicomp) [paper]
On Attention Models for Human Activity Recognition (ISWC/ubicomp) [paper]
[AROMA] AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors (IMWUT/ubicomp) [paper]

2017

[EnsemblesLSTM] Ensembles of Deep LSTM Learners for Activity Recognition using Wearables (IMWUT/ubicomp) [paper] [Tensorflow]
Deep Learning for Sensor-based Activity Recognition: A Survey (Pattern Recognition Letters) [paper]
Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation (IMWUT/ubicomp) [paper]
Label Propagation: An Unsupervised Similarity Based Method for Integrating New Sensors in Activity Recognition Systems (IMWUT/ubicomp) [paper]
CNN-based sensor fusion techniques for multimodal human activity recognition (ISWC/ubicomp) [paper]

2016

Learning from less for better: semi-supervised activity recognition via shared structure discovery (ubicomp) [paper]
Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble (ubicomp) [paper]

2015

Beyond activity recognition: skill assessment from accelerometer data (ubicomp) [paper]
I did not smoke 100 cigarettes today!: avoiding false positives in real-world activity recognition (ubicomp) [paper]
Let's (not) stick together: pairwise similarity biases cross-validation in activity recognition (ubicomp) [paper]
Improved activity recognition by using enriched acceleration data (ubicomp) [paper]
A field study comparing approaches to collecting annotated activity data in real-world settings (ubicomp) [paper]
Personalization revisited: a reflective approach helps people better personalize health services and motivates them to increase physical activity (ubicomp) [paper]

2014

MONITORING HOUSEHOLD ACTIVITIES AND USER LOCATION WITH A CHEAP, UNOBTRUSIVE THERMAL SENSOR ARRAY (ubicomp) [paper]
Connecting personal-scale sensing and networked community behavior to infer human activities (ubicomp) [paper]
Using electrodermal activity to recognize ease of engagement in children during social interactions (ubicomp) [paper]

2013

Fine-Grained Sharing of Sensed Physical Activity: A Value Sensitive Approach (ubicomp) [paper]
Towards zero-shot learning for human activity recognition using semantic attribute sequence model (ubicomp) [paper]
Personalized mobile physical activity recognition (ubicomp) [paper]
A Hybrid Unsupervised/Supervised Model for Group Activity Recognition (ubicomp) [paper]
Confidence-based Multiclass AdaBoost for Physical Activity Monitoring (ubicomp) [paper]
An exploration with online complex activity recognition using cellphone accelerometer (ubicomp) [paper]
[UniPad] UniPad: Orchestrating collaborative activities through shared tablets and an integrated wall display (ubicomp) [paper]
Human Activity Recognition Using Heterogeneous Sensors (ubicomp) [paper]
A probabilistic ontological framework for the recognition of multilevel human activities (ubicomp) [paper]
Ubiquitous support for midwives to leverage daily activities (ubicomp) [paper]
Combining Embedded Accelerometers with Computer Vision for Recognizing Food Preparation Activities (ubicomp) [paper]

2012

A Spark Of Activity: Exploring Information Art As Visualization For Physical Activity (ubicomp) [paper]
[BodyScope] BodyScope: A Wearable Acoustic Sensor for Activity Recognition (ubicomp) [paper]
An Integrated Framework for Human Activity Classification (ubicomp) [paper]

2011

The Place for Ubiquitous Computing in Schools: Lessons Learned from a School-Based Intervention for Youth Physical Activity (ubicomp) [paper]
[CSN] Enabling Large-scale Human Activity Inference on Smartphones using Community Similarity Networks (ubicomp) [paper]

2010

Using Wearable Activity Type Detection to Improve Physical Activity Energy Expenditure Estimation (ubicomp) [paper]

wdkhuans / awesome-human-activity-recognition Goto Github PK

awesome-human-activity-recognition's Introduction