Espen Alexander Fürst Ihlen

According to our database, Espen Alexander Fürst Ihlen authored at least 19 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition.

Kimji N. Pellano, Inga Strümke, Espen A. F. Ihlen

Sensors, March, 2024

Lightweight Neural Architecture Search for Cerebral Palsy Detection.

Felix Tempel, Espen A. F. Ihlen, Inga Strümke

CoRR, 2024

Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy.

Kimji N. Pellano, Inga Strümke, Daniel Groos, Lars Adde, Espen Alexander Fürst Ihlen

CoRR, 2024

AutoGCN - Towards Generic Human Activity Recognition with Neural Architecture Search.

Felix Tempel, Inga Strümke, Espen Alexander Fürst Ihlen

CoRR, 2024

AutoGCN-Toward Generic Human Activity Recognition With Neural Architecture Search.

Felix Tempel, Espen Alexander Fürst Ihlen, Inga Strümke

IEEE Access, 2024

2022

Towards human-level performance on automatic pose estimation of infant spontaneous movements.

Daniel Groos, Lars Adde, Ragnhild Støen, Heri Ramampiaro, Espen A. F. Ihlen

Comput. Medical Imaging Graph., 2022

2021

Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation.

Ola Elfmark, Gertjan J. C. Ettema, Daniel Groos, Espen A. F. Ihlen, Rune Velta, Per Haugen, Steinar Braaten, Matthias Gilgien

Sensors, 2021

Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification.

Muhammad Awais, Lorenzo Chiari, Espen A. F. Ihlen, Jorunn L. Helbostad, Luca Palmerini

Sensors, 2021

EfficientPose: Scalable single-person pose estimation.

Daniel Groos, Heri Ramampiaro, Espen A. F. Ihlen

Appl. Intell., 2021

2020

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

Ronny Bergquist, Corinna Nerz, Kristin Taraldsen, Sabato Mellone, Espen A. F. Ihlen, Beatrix Vereijken, Jorunn L. Helbostad, Clemens Becker, A. Stefanie Mikolaizak

Sensors, 2020

Towards human performance on automatic motion tracking of infant spontaneous movements.

Daniel Groos, Lars Adde, Ragnhild Støen, Heri Ramampiaro, Espen A. F. Ihlen

CoRR, 2020

2019

Physical Activity Classification for Elderly People in Free-Living Conditions.

Muhammad Awais, Lorenzo Chiari, Espen Alexander Fürst Ihlen, Jorunn L. Helbostad, Luca Palmerini

IEEE J. Biomed. Health Informatics, 2019

2017

A Physical Activity Reference Data-Set Recorded from Older Adults Using Body-Worn Inertial Sensors and Video Technology - The ADAPT Study Data-Set.

Alan K. Bourke, Espen A. F. Ihlen, Ronny Bergquist, Per Bendik Wik, Beatrix Vereijken, Jorunn L. Helbostad

Sensors, 2017

2016

Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study.

Muhammad Awais, Luca Palmerini, Alan K. Bourke, Espen A. F. Ihlen, Jorunn L. Helbostad, Lorenzo Chiari

Sensors, 2016

Patterns of human activity behavior: from data to information and clinical knowledge.

Anisoara Paraschiv-Ionescu, Sabato Mellone, Marco Colpo, Alan Bourke, Espen A. F. Ihlen, Christopher Moufawad el Achkar, Lorenzo Chiari, Clemens Becker, Kamiar Aminian

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.

Alan K. Bourke, Jochen Klenk, Lars Schwickert, Kamiar Aminian, Espen A. F. Ihlen, Sabato Mellone, Jorunn L. Helbostad, Lorenzo Chiari, Clemens Becker

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Video analysis validation of a real-time physical activity detection algorithm based on a single waist mounted tri-axial accelerometer sensor.

Alan K. Bourke, Espen A. F. Ihlen, Pepijn van de Ven, John Nelson, Jorunn L. Helbostad

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Temporal and kinematic variables for real-world falls harvested from lumbar sensors in the elderly population.

Alan K. Bourke, Jochen Klenk, Lars Schwickert, Kamiar Aminian, Espen A. F. Ihlen, Jorunn L. Helbostad, Lorenzo Chiari, Clemens Becker

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2009

A comparison of two Hilbert spectral analyses of heart rate variability.

Espen Alexander Fürst Ihlen

Medical Biol. Eng. Comput., 2009