A comparison of two Hilbert spectral analyses of heart rate variability. - Espen Alexander Fürst Ihlen (Medical Biol. Eng. Comput., 2009)

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 (EMBC, 2015)

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 (EMBC, 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 (EMBC, 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 (UbiComp Adjunct, 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 003; Luca Palmerini; Alan K. Bourke; Espen A. F. Ihlen; Jorunn L. Helbostad; Lorenzo Chiari (Sensors, 2016)

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)

Physical Activity Classification for Elderly People in Free-Living Conditions. - Muhammad Awais 003; Lorenzo Chiari; Espen Alexander Fürst Ihlen; Jorunn L. Helbostad; Luca Palmerini (IEEE J. Biomed. Health Informatics, 2019)

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)

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)

EfficientPose: Scalable single-person pose estimation. - Daniel Groos; Heri Ramampiaro; Espen A. F. Ihlen (Appl. Intell., 2021)

Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification. - Muhammad Awais 003; Lorenzo Chiari; Espen A. F. Ihlen; Jorunn L. Helbostad; Luca Palmerini (Sensors, 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)

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)

AutoGCN-Toward Generic Human Activity Recognition With Neural Architecture Search. - Felix Tempel; Espen Alexander Fürst Ihlen; Inga Strümke (IEEE Access, 2024)

AutoGCN - Towards Generic Human Activity Recognition with Neural Architecture Search. - Felix Tempel; Inga Strümke; Espen Alexander Fürst Ihlen (CoRR, 2024)

Lightweight Neural Architecture Search for Cerebral Palsy Detection. - Felix Tempel; Espen A. F. Ihlen; Inga Strümke (CoRR, 2024)

Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity Recognition. - Felix Tempel; Daniel Groos; Espen Alexander Fürst Ihlen; Lars Adde; Inga Strümke (CoRR, 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, 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 A. F. Ihlen (IEEE Access, 2025)

Explaining Human Activity Recognition with SHAP: Validating insights with perturbation and quantitative measures. - Felix Tempel; Espen Alexander Fürst Ihlen; Lars Adde; Inga Strümke (Comput. Biol. Medicine, 2025)

Towards Biomarker Discovery for Early Cerebral Palsy Detection: Evaluating Explanations Through Kinematic Perturbations. - Kimji N. Pellano; Inga Strümke; Daniel Groos; Lars Adde; Pål Haugen; Espen Alexander Fürst Ihlen (CoRR, 2025)