Search Results - "Siirtola, P."

Data-Driven Identification of Long-Term Glycemia Clusters and Their Individualized Predictors in Finnish Patients with Type 2 Diabetes by Lavikainen, Piia, Chandra, Gunjan, Siirtola, Pekka, Tamminen, Satu, Ihalapathirana, Anusha T, Röning, Juha, Laatikainen, Tiina, Martikainen, Janne

“…To gain an understanding of the heterogeneous group of type 2 diabetes (T2D) patients, we aimed to identify patients with the homogenous long-term HbA1c…”
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Activity recognition using a wrist-worn inertial measurement unit: A case study for industrial assembly lines by Koskimaki, H., Huikari, V., Siirtola, P., Laurinen, P., Roning, J.

“…As wearable sensors are becoming more common, their utilization in real-world applications is also becoming more attractive. In this study, a single wrist-worn…”
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Mining an optimal prototype from a periodic time series: An evolutionary computation-based approach by Siirtola, P., Laurinen, P., Roning, J.

“…The mining of meaningful shapes of time series is done widely in order to find shapes that can be used, for example, in classification problems or in…”
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Efficient accelerometer-based swimming exercise tracking by Siirtola, P., Laurinen, P., Roning, J., Kinnunen, H.

“…The study concentrates on tracking swimming exercises based on the data of 3D accelerometer and shows that human activities can be tracked accurately using low…”
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User-independent activity recognition for industrial assembly lines-feature vs. instance selection by Huikari, V, Koskimäki, H, Siirtola, P, Röning, J

“…This study concentrated on real-time monitoring of a worker using wearable-sensor-based activity recognition. An inertial measurement unit was attached to both…”
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Periodic quick test for classifying long-term activities by Siirtola, P., Koskimaki, H., Roning, J.

“…A novel method to classify long-term human activities is presented in this study. The method consists of two parts: quick test and periodic classification. The…”
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Clustering-based activity classification with a wrist-worn accelerometer using basic features by Siirtola, P., Laurinen, P., Haapalainen, E., Roning, J., Kinnunen, H.

“…Automatic recognition of activities using time series data collected from exercise can facilitate development of applications that motivate people to exercise…”
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Feature Selection and Activity Recognition to Detect Water Waste from Water Tap Usage by Trang Thuy Vu, Sokan, Akifumi, Nakajo, Hironori, Fujinami, Kaori, Suutala, J., Siirtola, P., Alasalmi, T., Pitkanen, A., Roning, Juha

“…In this paper, water tap usage is examined based on water sound analysis. We focus on detecting "water waste" to make persuasion of water savings effective,…”
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A Weighted Distance Measure for Calculating the Similarity of Sparsely Distributed Trajectories by Siirtola, P., Laurinen, P., Roning, J.

“…This article presents a method for the calculating similarity of two trajectories. The method is especially designed for a situation where the points of the…”
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