| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/sensors/MartindaleSE19 |
| P356 | DOI | 10.3390/S19081820 |
| P932 | PMC publication ID | 6515106 |
| P698 | PubMed publication ID | 30995789 |
| P50 | author | Sebastijan Sprager | Q64908474 |
| Christine F. Martindale | Q47139414 | ||
| Bjoern M Eskofier | Q47139417 | ||
| P2093 | author name string | Bjoern M Eskofier | |
| Sebastijan Sprager | |||
| Christine F Martindale | |||
| P2860 | cites work | Gait Partitioning Methods: A Systematic Review | Q26769991 |
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| Stride segmentation during free walk movements using multi-dimensional subsequence dynamic time warping on inertial sensor data | Q28647351 | ||
| Analysis of Public Datasets for Wearable Fall Detection Systems | Q33455259 | ||
| Step Counting: A Review of Measurement Considerations and Health-Related Applications | Q33845459 | ||
| Hierarchical, multi-sensor based classification of daily life activities: comparison with state-of-the-art algorithms using a benchmark dataset | Q35018204 | ||
| Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters | Q38705166 | ||
| Evaluation of the performance of accelerometer-based gait event detection algorithms in different real-world scenarios using the MAREA gait database | Q39295716 | ||
| Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models | Q47139375 | ||
| Validity and Reliability Evaluation of Four Commercial Activity Trackers' Step Counting Performance | Q47198844 | ||
| Video-Recorded Validation of Wearable Step Counters under Free-living Conditions. | Q47554834 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 8 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | inertial measurement unit | Q941680 |
| semi-supervised learning | Q1041418 | ||
| gait analysis | Q1493441 | ||
| activity recognition | Q4677630 | ||
| Markov model | Q6771326 | ||
| P577 | publication date | 2019-04-16 | |
| P1433 | published in | Sensors | Q3478643 |
| P1476 | title | Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables | |
| P478 | volume | 19 |
| Q93001270 | Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System |
| Q90383247 | Lower Limb Locomotion Activity Recognition of Healthy Individuals Using Semi-Markov Model and Single Wearable Inertial Sensor |
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