Correction to: Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1878-7657

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Correction to: Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards? ; day:12 ; month:4 ; year:2022 ; pages:1-2
European geriatric medicine ; (12.4.2022), 1-2

Creator: Ollenschläger, Malte
Kluge, Felix
Müller-Schulz, Matthias
Püllen, Rupert
Möller, Claudia
Klucken, Jochen
Eskofier, Bjoern M.

Contributor: SpringerLink (Online service)

DOI: 10.1007/s41999-022-00646-0

URN: urn:nbn:de:101:1-2022062722294862314336

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:28 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Ollenschläger, Malte
Kluge, Felix
Müller-Schulz, Matthias
Püllen, Rupert
Möller, Claudia
Klucken, Jochen
Eskofier, Bjoern M.
SpringerLink (Online service)

Other Objects (12)

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors

Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables

Data Mining in the U.S. National Toxicology Program (NTP) Database Reveals a Potential Bias Regarding Liver Tumors in Rodents Irrespective of the Test Agent

A Robust Kalman Framework with Resampling and Optimal Smoothing

Editorial: Wearable and Implantable Technologies in the Rehabilitation of Patients With Sensory Impairments

Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning

Hochschulschrift

Cyclic motion analysis using inertial sensors and machine learning

Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset

From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors

Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables

Data Mining in the U.S. National Toxicology Program (NTP) Database Reveals a Potential Bias Regarding Liver Tumors in Rodents Irrespective of the Test Agent

A Robust Kalman Framework with Resampling and Optimal Smoothing

Editorial: Wearable and Implantable Technologies in the Rehabilitation of Patients With Sensory Impairments

Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning

Hochschulschrift

Cyclic motion analysis using inertial sensors and machine learning

Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset

From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors

Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables

Data Mining in the U.S. National Toxicology Program (NTP) Database Reveals a Potential Bias Regarding Liver Tumors in Rodents Irrespective of the Test Agent

A Robust Kalman Framework with Resampling and Optimal Smoothing

Editorial: Wearable and Implantable Technologies in the Rehabilitation of Patients With Sensory Impairments

Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning

Hochschulschrift

Cyclic motion analysis using inertial sensors and machine learning

Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset

From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Correction to: Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors

Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables

Data Mining in the U.S. National Toxicology Program (NTP) Database Reveals a Potential Bias Regarding Liver Tumors in Rodents Irrespective of the Test Agent

A Robust Kalman Framework with Resampling and Optimal Smoothing

Editorial: Wearable and Implantable Technologies in the Rehabilitation of Patients With Sensory Impairments

Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning

Cyclic motion analysis using inertial sensors and machine learning

Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset

From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors

Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables

Data Mining in the U.S. National Toxicology Program (NTP) Database Reveals a Potential Bias Regarding Liver Tumors in Rodents Irrespective of the Test Agent

A Robust Kalman Framework with Resampling and Optimal Smoothing

Editorial: Wearable and Implantable Technologies in the Rehabilitation of Patients With Sensory Impairments

Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning

Cyclic motion analysis using inertial sensors and machine learning

Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset

From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors

Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables

Data Mining in the U.S. National Toxicology Program (NTP) Database Reveals a Potential Bias Regarding Liver Tumors in Rodents Irrespective of the Test Agent

A Robust Kalman Framework with Resampling and Optimal Smoothing

Editorial: Wearable and Implantable Technologies in the Rehabilitation of Patients With Sensory Impairments

Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning

Cyclic motion analysis using inertial sensors and machine learning

Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset

From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning

Related objects

Reset password