Recent Progress in Sensing and Computing Techniques for Human Activity Recognition and Motion Analysis
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Zonghua Zhang | Hao Zhang | Qirui Fan | Mingxing Zhang | Zhaozong Meng | Nan Gao | Changxin Guo | Zonghua Zhang | Z. Meng | Hao Zhang | Qirui Fan | N. Gao | Mingxing Zhang | Changxin Guo | Zhaozong Meng
[1] David Howard,et al. A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data , 2009, IEEE Transactions on Biomedical Engineering.
[2] Eduardo Souto,et al. A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory , 2020, Sensors.
[3] Nasir Rashid,et al. Human activity recognition using 2D skeleton data and supervised machine learning , 2019, IET Image Process..
[4] Andreas W. Kempa-Liehr,et al. Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh - A Python package) , 2018, Neurocomputing.
[5] Joan Condell,et al. IMU Sensor-Based Electronic Goniometric Glove for Clinical Finger Movement Analysis , 2018, IEEE Sensors Journal.
[6] Luciano Lavagno,et al. Neural Networks for Indoor Human Activity Reconstructions , 2020, IEEE Sensors Journal.
[7] Nicholas P. Fey,et al. Lower Limb Motion Estimation Using Ultrasound Imaging: A Framework for Assistive Device Control , 2019, IEEE Journal of Biomedical and Health Informatics.
[8] Valentin Peretroukhin,et al. Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation , 2020, IEEE Sensors Journal.
[9] Zhelong Wang,et al. Using Wearable Sensors to Capture Posture of the Human Lumbar Spine in Competitive Swimming , 2019, IEEE Transactions on Human-Machine Systems.
[10] Mohammad Ghavami,et al. Non-Contact Human Gait Identification Through IR-UWB Edge-Based Monitoring Sensor , 2019, IEEE Sensors Journal.
[11] Daqing Zhang,et al. RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices , 2017, IEEE Transactions on Mobile Computing.
[12] Jonathan Rodriguez,et al. SmartWall: Novel RFID-Enabled Ambient Human Activity Recognition Using Machine Learning for Unobtrusive Health Monitoring , 2019, IEEE Access.
[13] Avik Santra,et al. Continuous Human Activity Classification With Unscented Kalman Filter Tracking Using FMCW Radar , 2020, IEEE Sensors Letters.
[14] Paola Pierleoni,et al. A Wireless Body Sensor Network for Clinical Assessment of the Flexion-Relaxation Phenomenon , 2020, Electronics.
[15] Weihua Sheng,et al. Wearable Sensor-Based Hand Gesture and Daily Activity Recognition for Robot-Assisted Living , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[16] Yunyoung Nam,et al. Analysis of Machine Learning-Based Assessment for Elbow Spasticity Using Inertial Sensors , 2020, Sensors.
[17] I-Ming Chen,et al. Localization and velocity tracking of human via 3 IMU sensors , 2014 .
[18] Robert Bergevin,et al. Semantic human activity recognition: A literature review , 2015, Pattern Recognit..
[19] Xiaoxiang Zhou,et al. Wearable health monitoring system based on human motion state recognition , 2020, Comput. Commun..
[20] Domenico Prattichizzo,et al. Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter , 2019, IEEE Sensors Journal.
[21] Fan Zhang. Human–Computer Interactive Gesture Feature Capture and Recognition in Virtual Reality: , 2020 .
[22] Wanxin Xu,et al. Human body reshaping and its application using multiple RGB-D sensors , 2019, Signal Process. Image Commun..
[23] Yuanjin Zheng,et al. An FMCW Radar Transceiver Chip for Object Positioning and Human Limb Motion Detection , 2017, IEEE Sensors Journal.
[24] Guillermo Cámara Chávez,et al. Multimodal hand gesture recognition combining temporal and pose information based on CNN descriptors and histogram of cumulative magnitudes , 2020, J. Vis. Commun. Image Represent..
[25] Luis González Abril,et al. Mobile activity recognition and fall detection system for elderly people using Ameva algorithm , 2017, Pervasive Mob. Comput..
[26] Chunyu Li,et al. Learning skeleton information for human action analysis using Kinect , 2020, Signal Process. Image Commun..
[27] Tajana Rosing,et al. Human Behavior Aware Energy Management in Residential Cyber-Physical Systems , 2020, IEEE Transactions on Emerging Topics in Computing.
[28] Qingguo Li,et al. Two Shank-Mounted IMUs-Based Gait Analysis and Classification for Neurological Disease Patients , 2020, IEEE Robotics and Automation Letters.
[29] Tengyue Li,et al. Fusing wearable and remote sensing data streams by fast incremental learning with swarm decision table for human activity recognition , 2020, Inf. Fusion.
[30] John L. Crassidis,et al. Hip and Trunk Kinematics Estimation in Gait Through Kalman Filter Using IMU Data at the Ankle , 2018, IEEE Sensors Journal.
[31] Chi Cuong Vu,et al. Human Motion Recognition by Textile Sensors Based on Machine Learning Algorithms , 2018, Sensors.
[32] Yichun Liu,et al. Flexible, high-sensitive, and wearable strain sensor based on organic crystal for human motion detection , 2018, Organic Electronics.
[33] Nima Enayati,et al. A Quaternion-Based Unscented Kalman Filter for Robust Optical/Inertial Motion Tracking in Computer-Assisted Surgery , 2015, IEEE Transactions on Instrumentation and Measurement.
[34] Paolo Fornacciari,et al. IoT Wearable Sensor and Deep Learning: An Integrated Approach for Personalized Human Activity Recognition in a Smart Home Environment , 2019, IEEE Internet of Things Journal.
[35] Xiaohua Zhu,et al. Non-Contact Human Motion Recognition Based on UWB Radar , 2018, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
[36] Martin Schönfelder,et al. In-Ear Accelerometer-Based Sensor for Gait Classification , 2020, IEEE Sensors Journal.
[37] Kenneth Meijer,et al. Activity identification using body-mounted sensors—a review of classification techniques , 2009, Physiological measurement.
[38] Hideo Saito,et al. Gait Measurement at Home Using A Single RGB Camera. , 2019, Gait & posture.
[39] Yufeng Shu,et al. Interactive design of intelligent machine vision based on human-computer interaction mode , 2020, Microprocess. Microsystems.
[40] Slimane Larabi,et al. User-independent system for sign language finger spelling recognition , 2014, J. Vis. Commun. Image Represent..
[41] Mohammed Sadgal,et al. Skeleton-based human activity recognition for elderly monitoring systems , 2018, IET Comput. Vis..
[42] Hazem Wannous,et al. Heterogeneous hand gesture recognition using 3D dynamic skeletal data , 2019, Comput. Vis. Image Underst..
[43] Seung Ju Han,et al. Wireless Epidermal Six-Axis Inertial Measurement Units for Real-Time Joint Angle Estimation , 2020 .
[44] EMMA VILLENEUVE,et al. Reconstruction of Angular Kinematics From Wrist-Worn Inertial Sensor Data for Smart Home Healthcare , 2017, IEEE Access.
[45] Francesco Fioranelli,et al. Continuous Human Activity Classification From FMCW Radar With Bi-LSTM Networks , 2020, IEEE Sensors Journal.
[46] Subhas Chandra Mukhopadhyay,et al. Wearable Sensors for Human Activity Monitoring: A Review , 2015, IEEE Sensors Journal.
[47] Nathaniel Rossol,et al. A Multisensor Technique for Gesture Recognition Through Intelligent Skeletal Pose Analysis , 2016, IEEE Transactions on Human-Machine Systems.
[48] Yu Guan,et al. Deep Learning for Human Activity Recognition in Mobile Computing , 2018, Computer.
[49] N. Troje,et al. Objectively Differentiating Movement Patterns between Elite and Novice Athletes , 2018, Medicine and science in sports and exercise.
[50] Cheng Xu,et al. InnoHAR: A Deep Neural Network for Complex Human Activity Recognition , 2019, IEEE Access.
[51] Noureddine Manamanni,et al. Complementary Observer for Body Segments Motion Capturing by Inertial and Magnetic Sensors , 2014, IEEE/ASME Transactions on Mechatronics.
[52] Hairui Jia,et al. Integrated data and knowledge driven methodology for human activity recognition , 2020, Inf. Sci..
[53] Minho Lee,et al. Human motion based intent recognition using a deep dynamic neural model , 2015, Robotics Auton. Syst..
[54] Sunghoon Kim,et al. Golf swing analysis system with a dual band and motion analysis algorithm , 2017, IEEE Transactions on Consumer Electronics.
[55] G. Anitha,et al. Posture based health monitoring and unusual behavior recognition system for elderly using dynamic Bayesian network , 2018, Cluster Computing.
[56] Alberto Del Bimbo,et al. Motion segment decomposition of RGB-D sequences for human behavior understanding , 2017, Pattern Recognit..
[57] Diego H. Milone,et al. Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals , 2018, IEEE Journal of Biomedical and Health Informatics.
[58] Thomas Seel,et al. Alignment-free, self-calibrating elbow angles measurement using inertial sensors , 2017, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).
[59] Daniela Micucci,et al. On the Personalization of Classification Models for Human Activity Recognition , 2020, IEEE Access.
[60] Patrick Boissy,et al. Using Inertial Sensors to Automatically Detect and Segment Activities of Daily Living in People With Parkinson’s Disease , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[61] Jesse Hoey,et al. Sensor-Based Activity Recognition , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[62] Francesco Fioranelli,et al. Bi-LSTM Network for Multimodal Continuous Human Activity Recognition and Fall Detection , 2020, IEEE Sensors Journal.
[63] Reza Vahidnia,et al. Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A Survey , 2020, IEEE Access.
[64] Kai-Hsiang Ke,et al. Monitoring of Large-Area IoT Sensors Using a LoRa Wireless Mesh Network System: Design and Evaluation , 2018, IEEE Transactions on Instrumentation and Measurement.
[65] Javed Imran,et al. Combining CNN streams of RGB-D and skeletal data for human activity recognition , 2018, Pattern Recognit. Lett..
[66] Kamiar Aminian,et al. Gaussian process framework for pervasive estimation of swimming velocity with body-worn IMU , 2013 .
[67] Reynald Hoskinson,et al. A cascaded Kalman filter-based GPS/MEMS-IMU integration for sports applications , 2015 .
[68] Doik Kim,et al. Flexible Piezoelectric Sensor-Based Gait Recognition , 2018, Sensors.
[69] Yixiang Lim,et al. Experimental characterisation of eye-tracking sensors for adaptive human-machine systems , 2019, Measurement.
[70] Hejun Wu,et al. Real-Time Continuous Action Recognition Using Pose Contexts With Depth Sensors , 2018, IEEE Access.
[71] Guangyan Huang,et al. A novel Nest-based scheduling method for mobile wireless body area networks , 2020 .
[72] Yu-Liang Hsu,et al. Human Daily and Sport Activity Recognition Using a Wearable Inertial Sensor Network , 2018, IEEE Access.
[73] Zong Woo Geem,et al. A Novel Human Respiration Pattern Recognition Using Signals of Ultra-Wideband Radar Sensor , 2019, Sensors.
[74] Miguel A. Labrador,et al. A Survey on Human Activity Recognition using Wearable Sensors , 2013, IEEE Communications Surveys & Tutorials.
[75] Paolo Dario,et al. A Human Activity Recognition System Based on Dynamic Clustering of Skeleton Data , 2017, Sensors.
[76] Chin-Ling Chen,et al. Accurate Human Gesture Sensing With Coarse-Grained RF Signatures , 2019, IEEE Access.
[77] Meng Chen,et al. IoT for Next-Generation Racket Sports Training , 2018, IEEE Internet of Things Journal.
[78] Ioannis A. Kakadiaris,et al. A Review of Human Activity Recognition Methods , 2015, Front. Robot. AI.
[79] John McAllister,et al. Real-Time Embedded EMG Signal Analysis for Wrist-Hand Pose Identification , 2020, IEEE Transactions on Signal Processing.
[80] Zhaofeng Li,et al. Adaptive EKF Based on HMM Recognizer for Attitude Estimation Using MEMS MARG Sensors , 2018, IEEE Sensors Journal.
[81] C. Nicol,et al. Classification of Phantom Finger, Hand, Wrist, and Elbow Voluntary Gestures in Transhumeral Amputees With sEMG , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[82] Rezvan Kianifar,et al. Automated Assessment of Dynamic Knee Valgus and Risk of Knee Injury During the Single Leg Squat , 2017, IEEE Journal of Translational Engineering in Health and Medicine.
[83] Wei Gong,et al. Multi-Adversarial In-Car Activity Recognition Using RFIDs , 2020, IEEE Transactions on Mobile Computing.
[84] S. J. M. Bamberg,et al. A Wireless Sensory Feedback Device for Real-Time Gait Feedback and Training , 2012, IEEE/ASME Transactions on Mechatronics.
[85] Koushik Maharatna,et al. Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation , 2019, IEEE Transactions on Biomedical Engineering.
[86] Zhichao Cao,et al. WiHF: Gesture and User Recognition With WiFi , 2022, IEEE Transactions on Mobile Computing.
[87] Xiaorong Guan,et al. Estimation of Knee Movement from Surface EMG Using Random Forest with Principal Component Analysis , 2019, Electronics.
[88] Yan Luo,et al. Multitask LSTM Model for Human Activity Recognition and Intensity Estimation Using Wearable Sensor Data , 2020, IEEE Internet of Things Journal.
[89] Shilei Lv,et al. A light-weight on-line action detection with hand trajectories for industrial surveillance , 2020 .
[90] Shui Yu,et al. WiReader: Adaptive Air Handwriting Recognition Based on Commercial WiFi Signal , 2020, IEEE Internet of Things Journal.
[91] Zhihua Wang,et al. Efficient High Cross-User Recognition Rate Ultrasonic Hand Gesture Recognition System , 2020, IEEE Sensors Journal.
[92] Bernt Schiele,et al. Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[93] Chen Feng,et al. Upper limb motion tracking with the integration of IMU and Kinect , 2015, Neurocomputing.
[94] Yue Liu,et al. In-Air Handwriting by Passive Gesture Tracking Using Commodity WiFi , 2020, IEEE Communications Letters.
[95] João Gama,et al. Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview , 2019, Sensors.
[96] Matthias Pätzold,et al. A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition , 2019, IEEE Access.
[97] Yanjun Xiao,et al. Cost-Effective Wearable Indoor Localization and Motion Analysis via the Integration of UWB and IMU , 2020, Sensors.
[98] Sandro Fioretti,et al. Recognition of Gait Phases with a Single Knee Electrogoniometer: A Deep Learning Approach , 2020, Electronics.
[99] Quan Pan,et al. Whole-Body Pose Estimation in Human Bicycle Riding Using a Small Set of Wearable Sensors , 2016, IEEE/ASME Transactions on Mechatronics.
[100] Amitava Chatterjee,et al. Recognition of Human Behavior for Assisted Living Using Dictionary Learning Approach , 2018, IEEE Sensors Journal.