Real-Time Physical Activity Recognition on Smart Mobile Devices Using Convolutional Neural Networks

[1]  Hee Yong Youn,et al.  Detection of Falls with Smartphone Using Machine Learning Technique , 2019, 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI).

[2]  Miao Pan,et al.  PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[3]  Guang-Zhong Yang,et al.  A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices , 2017, IEEE Journal of Biomedical and Health Informatics.

[4]  Paul Lukowicz,et al.  Wearable Activity Tracking in Car Manufacturing , 2008, IEEE Pervasive Computing.

[5]  Graziano Pravadelli,et al.  Toward a Wearable System for Predicting Freezing of Gait in People Affected by Parkinson's Disease , 2019, IEEE Journal of Biomedical and Health Informatics.

[6]  Gregory M. P. O'Hare,et al.  Time-bounded Activity Recognition for Ambient Assisted Living , 2018 .

[7]  Hwee Pink Tan,et al.  Mobile big data analytics using deep learning and apache spark , 2016, IEEE Network.

[8]  Diane J Cook,et al.  Assessing the Quality of Activities in a Smart Environment , 2009, Methods of Information in Medicine.

[9]  Reza Malekian,et al.  Human Activity Recognition using LSTM-RNN Deep Neural Network Architecture , 2019, 2019 IEEE 2nd Wireless Africa Conference (WAC).

[10]  Mi Zhang,et al.  USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors , 2012, UbiComp.

[11]  Nasser Kehtarnavaz,et al.  UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor , 2015, 2015 IEEE International Conference on Image Processing (ICIP).

[12]  Jun Zhou,et al.  TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition , 2020, IEEE Journal of Biomedical and Health Informatics.

[13]  Dawei Liu,et al.  Context-Aware Human Activity and Smartphone Position-Mining with Motion Sensors , 2019, Remote. Sens..

[14]  Xiaohui Peng,et al.  Deep Learning for Sensor-based Activity Recognition: A Survey , 2017, Pattern Recognit. Lett..

[15]  Fulvio Mastrogiovanni,et al.  Wearable Inertial Sensors: Applications, Challenges, and Public Test Benches , 2015, IEEE Robotics & Automation Magazine.

[16]  Ying Wah Teh,et al.  Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges , 2018, Expert Syst. Appl..

[17]  Miguel A. Labrador,et al.  Centinela: A human activity recognition system based on acceleration and vital sign data , 2012, Pervasive Mob. Comput..

[18]  Yu-Liang Hsu,et al.  Wearable Sport Activity Classification Based on Deep Convolutional Neural Network , 2019, IEEE Access.

[19]  Daniel Roggen,et al.  Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition , 2016, Sensors.

[20]  Jafet Morales,et al.  Physical activity recognition by smartphones, a survey , 2017 .

[21]  Andrey Ignatov,et al.  Real-time human activity recognition from accelerometer data using Convolutional Neural Networks , 2018, Appl. Soft Comput..

[22]  Yanqin Yang,et al.  Human Activity Recognition Based On Convolutional Neural Network , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

[23]  Jonathan Rodriguez,et al.  SmartWall: Novel RFID-Enabled Ambient Human Activity Recognition Using Machine Learning for Unobtrusive Health Monitoring , 2019, IEEE Access.

[24]  Gary M. Weiss,et al.  Design considerations for the WISDM smart phone-based sensor mining architecture , 2011, SensorKDD '11.

[25]  Juha Röning,et al.  Recognizing Human Activities User-independently on Smartphones Based on Accelerometer Data , 2012, Int. J. Interact. Multim. Artif. Intell..

[26]  Yu-Liang Hsu,et al.  Human Daily and Sport Activity Recognition Using a Wearable Inertial Sensor Network , 2018, IEEE Access.

[27]  Miguel A. Labrador,et al.  A Survey on Human Activity Recognition using Wearable Sensors , 2013, IEEE Communications Surveys & Tutorials.

[28]  Gary M. Weiss,et al.  Activity recognition using cell phone accelerometers , 2011, SKDD.

[29]  H. Robbins.  A Stochastic Approximation Method , 1951 .

[30]  Gwenn Englebienne,et al.  Human activity recognition from wireless sensor network data: benchmark and software , 2011 .

[31]  Steven Salzberg,et al.  Programs for Machine Learning , 2004 .

[32]  Mohamed Elhoseny,et al.  Recognizing human activity in mobile crowdsensing environment using optimized k-NN algorithm , 2018, Expert Syst. Appl..

[33]  Luis González Abril,et al.  Discrete techniques applied to low-energy mobile human activity recognition. A new approach , 2014, Expert Syst. Appl..

[34]  Xihong Wu,et al.  Improving activity recognition with context information , 2015, 2015 IEEE International Conference on Mechatronics and Automation (ICMA).

[35]  Sarthak Gupta,et al.  Human Activity Recognition through Smartphone’s Tri-Axial Accelerometer using Time Domain Wave Analysis and Machine Learning , 2015 .

[36]  Athanasios V. Vasilakos,et al.  GCHAR: An efficient Group-based Context - aware human activity recognition on smartphone , 2017, J. Parallel Distributed Comput..

[37]  Guang-Zhong Yang,et al.  Deep learning for human activity recognition: A resource efficient implementation on low-power devices , 2016, 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

[38]  Yuwen Chen,et al.  LSTM Networks for Mobile Human Activity Recognition , 2016 .

[39]  Sung-Bae Cho,et al.  Human activity recognition with smartphone sensors using deep learning neural networks , 2016, Expert Syst. Appl..

[40]  Wei Gong,et al.  Channel Selective Activity Recognition with WiFi: A Deep Learning Approach Exploring Wideband Information , 2020, IEEE Transactions on Network Science and Engineering.

[41]  Wai Lok Woo,et al.  IoT Structured Long-Term Wearable Social Sensing for Mental Wellbeing , 2019, IEEE Internet of Things Journal.

[42]  Daniela Micucci,et al.  UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones , 2016, ArXiv.

[43]  Ricardo Chavarriaga,et al.  The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition , 2013, Pattern Recognit. Lett..

[44]  E K Antonsson,et al.  The frequency content of gait. , 1985, Journal of biomechanics.

[45]  Ignacio Rojas,et al.  Design, implementation and validation of a novel open framework for agile development of mobile health applications , 2015, BioMedical Engineering OnLine.

[46]  Jie Jia,et al.  Stroke Patients’ Acceptance of a Smart Garment for Supporting Upper Extremity Rehabilitation , 2018, IEEE Journal of Translational Engineering in Health and Medicine.