Heli Koskimäki

发表

Gamified physical activation of young men – a Multidisciplinary Population-Based Randomized Controlled Trial (MOPO study)

Tiina M. Ikäheimo, J. Röning, R. Korpelainen, 2013, BMC Public Health.

Fe b 20 20 Be er Classifier Calibration for Small Data Sets

J. Röning, Jaakko Suutala, Heli Koskimäki, 2020 .

Heli Koskimäki UTILIZING SIMILARITY INFORMATION IN INDUSTRIAL APPLICATIONS

J. Röning, Oulu F Inland, O. Vuolteenaho, 2009 .

Nocturnal finger skin temperature in menstrual cycle tracking: ambulatory pilot study using a wearable Oura ring

M. Kangas, H. Kinnunen, T. Jämsä, 2019, BMC Women's Health.

Feasible assessment of recovery and cardiovascular health: accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG

H. Kinnunen, Tuomas V. Kenttä, Heli Koskimäki, 2020, Physiological measurement.

How Does Sleep Tracking Influence Your Life?

N. V. Berkel, S. Hosio, Niels van Berkel, 2022, Proc. ACM Hum. Comput. Interact..

The Impact of Smartphone Usage on Circadian Cycles: A Case Study with Wearable Ring

Heli Koskimäki, Aku Visuri, Elina Kuosmanen, 2022, 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).

Classification Uncertainty of Multiple Imputed Data

Juha Röning, Jaakko Suutala, Heli Koskimäki, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Better Multi-class Probability Estimates for Small Data Sets pdf

Juha Röning, Jaakko Suutala, Heli Koskimäki, 2020, ArXiv.

Instance Level Classification Confidence Estimation

Juha Röning, Jaakko Suutala, Heli Koskimäki, 2016, DCAI.

Computer game and wearable sensors based approach to promote physical activity for young men

Raija Korpelainen, Timo Jämsä, Juha Röning, 2017, UbiComp/ISWC Adjunct.

Using Sleep Time Data from Wearable Sensors for Early Detection of Migraine Attacks

Juha Röning, Pekka Siirtola, Heli Koskimäki, 2018, Sensors.

OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets - Introduction and Experimental Results

Juha Röning, Pekka Siirtola, Heli Koskimäki, 2019, Human Activity Sensing.

OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets

Juha Röning, Pekka Siirtola, Heli Koskimäki, 2018, UbiComp/ISWC Adjunct.

Behavior modeling in industrial assembly lines using a wrist-worn inertial measurement unit

Juha Röning, Pekka Siirtola, Heli Koskimäki, 2013, J. Ambient Intell. Humaniz. Comput..

Wrist-worn Wearable Sensors to Understand Insides of the Human Body: Data Quality and Quantity

Juha Röning, Pekka Siirtola, Heli Koskimäki, 2019, WearSys@MobiSys.

Personalizing human activity recognition models using incremental learning pdf

Juha Röning, Pekka Siirtola, Heli Koskimäki, 2019, ESANN.

Two-level clustering approach to training data instance selection: A case study for the steel industry

Juha Röning, Heli Koskimäki, Ilmari Juutilainen, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Heli Koskimäki, Heli Koskimäki, 2009 .

Better Classifier Calibration for Small Datasets

Juha Röning, Jaakko Suutala, Heli Koskimäki, 2020, ACM Trans. Knowl. Discov. Data.

Avoiding Bias in Classification Accuracy - A Case Study for Activity Recognition

Heli Koskimäki, Heli Koskimäki, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

MyoGym: introducing an open gym data set for activity recognition collected using myo armband

Juha Röning, Pekka Siirtola, Heli Koskimäki, 2017, UbiComp/ISWC Adjunct.

Early detection of migraine attacks based on wearable sensors: experiences of data collection using Empatica E4

Juha Röning, Raija Halonen, Pekka Siirtola, 2017, UbiComp/ISWC Adjunct.

Detection of Correct Moment to Model Update

Juha Röning, Heli Koskimäki, Ilmari Juutilainen, 2009 .

Model update in wearable sensors based human activity recognition

Pekka Siirtola, Heli Koskimäki, Heli Koskimäki, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Accelerometer vs. Electromyogram in Activity Recognition

Pekka Siirtola, Heli Koskimäki, Heli Koskimäki, 2016 .

Adaptive model fusion for wearable sensors based human activity recognition

Pekka Siirtola, Heli Koskimäki, Heli Koskimäki, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Behavior modeling in industrial assembly lines using a wrist-worn inertial measurement unit

J. Röning, Heli Koskimäki, Pekka Siirtola, 2011, Journal of Ambient Intelligence and Humanized Computing.

Recognizing Unseen Gym Activities from Streaming Data - Accelerometer Vs. Electromyogram

Pekka Siirtola, Heli Koskimäki, Heli Koskimäki, 2016, DCAI.

Recognizing gym exercises using acceleration data from wearable sensors

Pekka Siirtola, Heli Koskimäki, Heli Koskimäki, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Application of the Extended $k$nn Method to Resistance Spot Welding Process Identification and the Benefits of Process Information

Juha Röning, Heli Koskimäki, Lauri Tuovinen, 2007, IEEE Transactions on Industrial Electronics.

How Do We Sleep: a Case Study of Sleep Duration and Quality Using Data from Oura Ring

Juha Röning, Heli Koskimäki, Hannu Kinnunen, 2018, UbiComp/ISWC Adjunct.

0312 The HRV Of The Ring - Comparison Of Nocturnal HR And HRV Between A Commercially Available Wearable Ring And ECG

Heli Koskimäki, Hannu Kinnunen, H. Kinnunen, 2018 .