Clemens Becker

According to our database1, Clemens Becker authored at least 14 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Template-Based Recognition of Human Locomotion in IMU Sensor Data Using Dynamic Time Warping.
Sensors, 2021

Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes.
npj Digit. Medicine, 2021

2020
Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson's Patients Using Digital Mobility Outcomes.
Sensors, 2020

Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls.
Sensors, 2020

Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test.
Sensors, 2020

Digital Technology to Deliver a Lifestyle-Integrated Exercise Intervention in Young Seniors - The PreventIT Feasibility Randomized Controlled Trial.
Frontiers Digit. Health, 2020

2019
Change of Objectively-Measured Physical Activity during Geriatric Rehabilitation.
Sensors, 2019

2017
Mobile Health Applications to Promote Active and Healthy Ageing.
Sensors, 2017

2016
Inertial Sensor Based Analysis of Lie-to-Stand Transfers in Younger and Older Adults.
Sensors, 2016

Patterns of human activity behavior: from data to information and clinical knowledge.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: A machine learning approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
A Wavelet-Based Approach to Fall Detection.
Sensors, 2015

Temporal and kinematic variables for real-world falls harvested from lumbar sensors in the elderly population.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
FRAT-Up, a Rule-Based System Evaluating Fall Risk in the Elderly.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014


  Loading...