Espen A. F. Ihlen

16 papers Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy.
IEEE Access
Kimji N. Pellano, Inga Strümke, Daniel Groos, Lars Adde, Espen A. F. Ihlen
2024 J jnl
From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition.
Sensors
Kimji N. Pellano, Inga Strümke, Espen A. F. Ihlen
2024 J jnl
Lightweight Neural Architecture Search for Cerebral Palsy Detection.
CoRR
Felix Tempel, Espen A. F. Ihlen, Inga Strümke
2022 J jnl
Towards human-level performance on automatic pose estimation of infant spontaneous movements.
Comput. Medical Imaging Graph.
Daniel Groos, Lars Adde, Ragnhild Støen, Heri Ramampiaro, Espen A. F. Ihlen
2021 J jnl
Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification.
Sensors
Muhammad Awais, Lorenzo Chiari, Espen A. F. Ihlen, Jorunn L. Helbostad, Luca Palmerini
2021 J jnl
EfficientPose: Scalable single-person pose estimation.
Appl. Intell.
Daniel Groos, Heri Ramampiaro, Espen A. F. Ihlen
2021 J jnl
Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation.
Sensors
Ola Elfmark, Gertjan J. C. Ettema, Daniel Groos, Espen A. F. Ihlen, Rune Velta, Per Haugen, Steinar Braaten, Matthias Gilgien
2020 J jnl
EfficientPose: Scalable single-person pose estimation.
CoRR
Daniel Groos, Heri Ramampiaro, Espen A. F. Ihlen
2020 J jnl
Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test.
Sensors
Ronny Bergquist, Corinna Nerz, Kristin Taraldsen, Sabato Mellone, Espen A. F. Ihlen, Beatrix Vereijken, Jorunn L. Helbostad, Clemens Becker, A. Stefanie Mikolaizak
2020 J jnl
Towards human performance on automatic motion tracking of infant spontaneous movements.
CoRR
Daniel Groos, Lars Adde, Ragnhild Støen, Heri Ramampiaro, Espen A. F. Ihlen
2017 J jnl
A Physical Activity Reference Data-Set Recorded from Older Adults Using Body-Worn Inertial Sensors and Video Technology - The ADAPT Study Data-Set.
Sensors
Alan K. Bourke, Espen A. F. Ihlen, Ronny Bergquist, Per Bendik Wik, Beatrix Vereijken, Jorunn L. Helbostad
2016 — conf
Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: A machine learning approach.
EMBC
Alan K. Bourke, Jochen Klenk, Lars Schwickert, Kamiar Aminian, Espen A. F. Ihlen, Sabato Mellone, Jorunn L. Helbostad, Lorenzo Chiari, Clemens Becker
2016 — conf
Patterns of human activity behavior: from data to information and clinical knowledge.
UbiComp Adjunct
Anisoara Paraschiv-Ionescu, Sabato Mellone, Marco Colpo, Alan Bourke, Espen A. F. Ihlen, Christopher Moufawad el Achkar, Lorenzo Chiari, Clemens Becker, Kamiar Aminian
2016 J jnl
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.
Sensors
Muhammad Awais, Luca Palmerini, Alan K. Bourke, Espen A. F. Ihlen, Jorunn L. Helbostad, Lorenzo Chiari
2016 — conf
Video analysis validation of a real-time physical activity detection algorithm based on a single waist mounted tri-axial accelerometer sensor.
EMBC
Alan K. Bourke, Espen A. F. Ihlen, Pepijn van de Ven, John Nelson, Jorunn L. Helbostad
2015 — conf
Temporal and kinematic variables for real-world falls harvested from lumbar sensors in the elderly population.
EMBC
Alan K. Bourke, Jochen Klenk, Lars Schwickert, Kamiar Aminian, Espen A. F. Ihlen, Jorunn L. Helbostad, Lorenzo Chiari, Clemens Becker