Fast Wearable Sensor–Based Foot–Ground Contact Phase Classification Using a Convolutional Neural Network with Sliding-Window Label Overlapping
出版年份 2020 全文链接
标题
Fast Wearable Sensor–Based Foot–Ground Contact Phase Classification Using a Convolutional Neural Network with Sliding-Window Label Overlapping
作者
关键词
-
出版物
SENSORS
Volume 20, Issue 17, Pages 4996
出版商
MDPI AG
发表日期
2020-09-03
DOI
10.3390/s20174996
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Study of Movement Classification of the Lower Limb Based on up to 4-EMG Channels
- (2019) Diana Toledo-Pérez et al. Electronics
- Different reliability of instrumented gait analysis between patients with unilateral hip osteoarthritis, unilateral hip prosthesis and healthy controls
- (2018) Roland Zügner et al. BMC MUSCULOSKELETAL DISORDERS
- Inertial Measurement Units for Clinical Movement Analysis: Reliability and Concurrent Validity
- (2018) Mohammad Al-Amri et al. SENSORS
- Human motion monitoring in sports using wearable graphene-coated fiber sensors
- (2018) Jinnan Zhang et al. SENSORS AND ACTUATORS A-PHYSICAL
- Human Daily and Sport Activity Recognition Using a Wearable Inertial Sensor Network
- (2018) Yu-Liang Hsu et al. IEEE Access
- IMU-based Classification of Parkinson's Disease from Gait: a Sensitivity Analysis on Sensor Location and Feature Selection
- (2018) IEEE Journal of Biomedical and Health Informatics
- MEMS Inertial Sensors Based Gait Analysis for Rehabilitation Assessment via Multi-Sensor Fusion
- (2018) Sen Qiu et al. Micromachines
- A Robust Deep Learning Approach for Position-Independent Smartphone-Based Human Activity Recognition
- (2018) Bandar Almaslukh et al. SENSORS
- Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
- (2018) Wolfgang Teufl et al. SENSORS
- Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders
- (2018) Wei-Chun Hsu et al. SENSORS
- Human motion recognition using SWCNT textile sensor and fuzzy inference system based smart wearable
- (2018) Chi Cuong Vu et al. SENSORS AND ACTUATORS A-PHYSICAL
- A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition
- (2017) Majid Janidarmian et al. SENSORS
- Development of an IMU-based foot-ground contact detection (FGCD) algorithm
- (2016) Myeongkyu Kim et al. ERGONOMICS
- Mixed-kernel based weighted extreme learning machine for inertial sensor based human activity recognition with imbalanced dataset
- (2016) Donghui Wu et al. NEUROCOMPUTING
- Design and Evaluation of an Interactive Exercise Coaching System for Older Adults: Lessons Learned
- (2016) Ferda Ofli et al. IEEE Journal of Biomedical and Health Informatics
- Localization and velocity tracking of human via 3 IMU sensors
- (2014) Qilong Yuan et al. SENSORS AND ACTUATORS A-PHYSICAL
- Human velocity and dynamic behavior tracking method for inertial capture system
- (2012) Qilong Yuan et al. SENSORS AND ACTUATORS A-PHYSICAL
- A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring
- (2011) Che-Chang Yang et al. SENSORS
- Estimation of gait parameters by measuring upper limb–walker interaction forces
- (2010) A. Abellanas et al. SENSORS AND ACTUATORS A-PHYSICAL
- Wearable wireless sensing system for capturing human arm motion
- (2010) Chee Kian Lim et al. SENSORS AND ACTUATORS A-PHYSICAL
- Wireless MEMS inertial sensor system for golf swing dynamics
- (2007) Kevin King et al. SENSORS AND ACTUATORS A-PHYSICAL
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started