Daily Activity Recognition and Tremor Quantification from Accelerometer Data for Patients with Essential Tremor Using Stacked Denoising Autoencoders
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Daily Activity Recognition and Tremor Quantification from Accelerometer Data for Patients with Essential Tremor Using Stacked Denoising Autoencoders
Authors
Keywords
-
Journal
International Journal of Computational Intelligence Systems
Volume 15, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-03
DOI
10.1007/s44196-021-00052-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
- Human Activity Classification in Smartphones Using Accelerometer and Gyroscope Sensors
- (2018) Ankita Jain et al. IEEE SENSORS JOURNAL
- Human Daily and Sport Activity Recognition Using a Wearable Inertial Sensor Network
- (2018) Yu-Liang Hsu et al. IEEE Access
- Activity-aware essential tremor evaluation using deep learning method based on acceleration data
- (2018) Xiaochen Zheng et al. PARKINSONISM & RELATED DISORDERS
- Deep Dilation on Multimodality Time Series for Human Activity Recognition
- (2018) Rui Xi et al. IEEE Access
- Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
- (2018) Yu Zhao et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Robust Human Activity Recognition Using Smartphone Sensors via CT-PCA and Online SVM
- (2017) Zhenghua Chen et al. IEEE Transactions on Industrial Informatics
- Device-Free Wireless Localization and Activity Recognition: A Deep Learning Approach
- (2017) Jie Wang et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Physical Activity Recognition From Smartphone Accelerometer Data for User Context Awareness Sensing
- (2017) Johan Wannenburg et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Continuous Monitoring of Essential Tremor Using a Portable System Based on Smartwatch
- (2017) Xiaochen Zheng et al. Frontiers in Neurology
- A Comparative Study on Human Activity Recognition Using Inertial Sensors in a Smartphone
- (2016) Aiguo Wang et al. IEEE SENSORS JOURNAL
- To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques
- (2016) Lida Abdi et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Recognition of Human Activities Using Continuous Autoencoders with Wearable Sensors
- (2016) Lukun Wang SENSORS
- Decision-tree-based human activity classification algorithm using single-channel foot-mounted gyroscope
- (2015) M.W. McCarthy et al. ELECTRONICS LETTERS
- Egocentric Daily Activity Recognition via Multitask Clustering
- (2015) Yan Yan et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Human Activity Recognition Process Using 3-D Posture Data
- (2015) Salvatore Gaglio et al. IEEE Transactions on Human-Machine Systems
- Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer
- (2014) Piyush Gupta et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A Framework for Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Accelerometer Signals
- (2013) Juan Cheng et al. IEEE Journal of Biomedical and Health Informatics
- Reliability of a new scale for essential tremor
- (2012) Rodger Elble et al. MOVEMENT DISORDERS
- Combined measures of movement and force variability distinguish Parkinson’s disease from essential tremor
- (2011) Cynthia Poon et al. CLINICAL NEUROPHYSIOLOGY
- A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
- (2011) M. Galar et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- Personalization Algorithm for Real-Time Activity Recognition Using PDA, Wireless Motion Bands, and Binary Decision Tree
- (2010) J Pärkkä et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Deep brain stimulation in the posterior subthalamic area in the treatment of essential tremor
- (2010) Patric Blomstedt et al. MOVEMENT DISORDERS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started