Step Length Estimation with Wearable Wrist Sensor using ANN-Reference-Cited by-同舟云学术

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Step Length Estimation with Wearable Wrist Sensor using ANN

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Chandrasekaran Sanjay¹,Lueken Markus²,Leonhardt Steffen²,Gandhi Uma³,Laurentius Thea⁴,Bollheimer Cornelius⁴,Ngo Chuong²

Affiliation:

1. ETH Zurich,Department of Information Technology and Electrical Engineering,Switzerland

2. RWTH Aachen University,Department of Medical Information Technology,Aachen,Germany

3. National Institute of Technology Tiruchirappalli,Department of Instrumentation and Control Engineering

4. University Hospital Aachen,Chair for Geriatrics,Germany

Funder

Robert Bosch Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871219.pdf?arnumber=9871219

Reference17 articles.

1. DePedo: Anti Periodic Negative-Step Movement Pedometer with Deep Convolutional Neural Networks

2. Indoor positioning based on foot-mounted IMU

3. Implementation and Validation of a Stride Length Estimation Algorithm, Using a Single Basic Inertial Sensor on Healthy Subjects and Patients Suffering from Parkinson’s Disease

4. A Novel Approach to Reducing Number of Sensing Units for Wearable Gait Analysis Systems

5. Estimation of Step Length With Wearable Thigh Sensor Using an Unscented Kalman Filter

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Two-Dimensional Deep Convolutional Neural Networks for Estimating Stride Length and Velocity in Institutionalized Older Adults;IEEE Sensors Journal;2024-09-01

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