Method of Step Detection and Counting Based on Measurements of Magnetic Field Variations
Basic human activity recognition (HAR) and analysis is becoming a key aspect of tracking and identifying daily habits that can have a critical impact on healthy lifestyles by providing feedback on health status and warning of deterioration. However, current approaches for detecting basic activities...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/23/7775 |
| _version_ | 1797507221947416576 |
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| author | Patryk Łaś Piotr Wiśniowski |
| author_facet | Patryk Łaś Piotr Wiśniowski |
| author_sort | Patryk Łaś |
| collection | DOAJ |
| description | Basic human activity recognition (HAR) and analysis is becoming a key aspect of tracking and identifying daily habits that can have a critical impact on healthy lifestyles by providing feedback on health status and warning of deterioration. However, current approaches for detecting basic activities such as movements or steps rely on solutions with multiple sensors which affect their size and power consumption. In this paper, we propose a novel method that uses only a single magnetic field sensor for basic step detection, unlike the well-known multisensory solutions. The approach presented here is based on real-time analysis of magnetic field sensor measurements to detect and count steps during a walking activity. The approach is implemented in a system that integrates a digital magnetic field sensor with software blocks: filter, steady state detector, extrema detector with classifier, and threshold comparator implemented in an embedded platform. Outdoor experiments with volunteers of different ages and genders walking at variable speeds showed that the proposed detection method achieves up to 98% accuracy in step detection. The obtained results show that a single magnetic field sensor can be used to detect steps, and in general offers the possibility of simplifying the current solutions by reducing the device dimensions, the cost of a system and its power consumption. |
| first_indexed | 2024-03-10T04:45:27Z |
| format | Article |
| id | doaj.art-73575cc669a044e9b1c4ef1f1a4e360a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T04:45:27Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-73575cc669a044e9b1c4ef1f1a4e360a2023-11-23T02:59:00ZengMDPI AGSensors1424-82202021-11-012123777510.3390/s21237775Method of Step Detection and Counting Based on Measurements of Magnetic Field VariationsPatryk Łaś0Piotr Wiśniowski1Institute of Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, PolandInstitute of Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, PolandBasic human activity recognition (HAR) and analysis is becoming a key aspect of tracking and identifying daily habits that can have a critical impact on healthy lifestyles by providing feedback on health status and warning of deterioration. However, current approaches for detecting basic activities such as movements or steps rely on solutions with multiple sensors which affect their size and power consumption. In this paper, we propose a novel method that uses only a single magnetic field sensor for basic step detection, unlike the well-known multisensory solutions. The approach presented here is based on real-time analysis of magnetic field sensor measurements to detect and count steps during a walking activity. The approach is implemented in a system that integrates a digital magnetic field sensor with software blocks: filter, steady state detector, extrema detector with classifier, and threshold comparator implemented in an embedded platform. Outdoor experiments with volunteers of different ages and genders walking at variable speeds showed that the proposed detection method achieves up to 98% accuracy in step detection. The obtained results show that a single magnetic field sensor can be used to detect steps, and in general offers the possibility of simplifying the current solutions by reducing the device dimensions, the cost of a system and its power consumption.https://www.mdpi.com/1424-8220/21/23/7775magnetic sensormotion detectionstep detectiongaitHARactivity recognition |
| spellingShingle | Patryk Łaś Piotr Wiśniowski Method of Step Detection and Counting Based on Measurements of Magnetic Field Variations Sensors magnetic sensor motion detection step detection gait HAR activity recognition |
| title | Method of Step Detection and Counting Based on Measurements of Magnetic Field Variations |
| title_full | Method of Step Detection and Counting Based on Measurements of Magnetic Field Variations |
| title_fullStr | Method of Step Detection and Counting Based on Measurements of Magnetic Field Variations |
| title_full_unstemmed | Method of Step Detection and Counting Based on Measurements of Magnetic Field Variations |
| title_short | Method of Step Detection and Counting Based on Measurements of Magnetic Field Variations |
| title_sort | method of step detection and counting based on measurements of magnetic field variations |
| topic | magnetic sensor motion detection step detection gait HAR activity recognition |
| url | https://www.mdpi.com/1424-8220/21/23/7775 |
| work_keys_str_mv | AT patrykłas methodofstepdetectionandcountingbasedonmeasurementsofmagneticfieldvariations AT piotrwisniowski methodofstepdetectionandcountingbasedonmeasurementsofmagneticfieldvariations |