Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance steps
Abstract The rising popularity of wearable activity tracking devices can be attributed to their capacity for gathering and analysing ambient data, which finds utility across numerous applications. In this study, a wearable activity tracking device is developed using the BBC micro:bit development boa...
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-78064-4 |
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| author | Kemal Avci |
| author_facet | Kemal Avci |
| author_sort | Kemal Avci |
| collection | DOAJ |
| description | Abstract The rising popularity of wearable activity tracking devices can be attributed to their capacity for gathering and analysing ambient data, which finds utility across numerous applications. In this study, a wearable activity tracking device is developed using the BBC micro:bit development board to identify basic bachata dance steps. Initially, a pair of smart ankle bracelets is crafted, employing the BBC micro:bit board equipped with a built-in accelerometer sensor and a Bluetooth module for transmitting accelerometer data to smartphones. Subsequently, a dataset encompassing six core bachata dance steps synchronized to four beats is created from ten participants to examine the performance of the system. A metric using squared Euclidean distance is applied for the accelerometer raw data to facilitate and standardize the automatic detection of the steps by the system. A user interface, built with Python and Tkinter library, is developed to enable automatic step detection using the accelerometer dataset. The results demonstrated a system accuracy rate of 79.2%. |
| format | Article |
| id | doaj-art-4923fae2d21441eca03a8e2aa2c99b8c |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-4923fae2d21441eca03a8e2aa2c99b8c2024-12-29T12:27:12ZengNature PortfolioScientific Reports2045-23222024-12-0114111410.1038/s41598-024-78064-4Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance stepsKemal Avci0Department of Electrical and Electronics Engineering, Izmir Democracy UniversityAbstract The rising popularity of wearable activity tracking devices can be attributed to their capacity for gathering and analysing ambient data, which finds utility across numerous applications. In this study, a wearable activity tracking device is developed using the BBC micro:bit development board to identify basic bachata dance steps. Initially, a pair of smart ankle bracelets is crafted, employing the BBC micro:bit board equipped with a built-in accelerometer sensor and a Bluetooth module for transmitting accelerometer data to smartphones. Subsequently, a dataset encompassing six core bachata dance steps synchronized to four beats is created from ten participants to examine the performance of the system. A metric using squared Euclidean distance is applied for the accelerometer raw data to facilitate and standardize the automatic detection of the steps by the system. A user interface, built with Python and Tkinter library, is developed to enable automatic step detection using the accelerometer dataset. The results demonstrated a system accuracy rate of 79.2%.https://doi.org/10.1038/s41598-024-78064-4Wearable activity trackerBBC:microbit boardAccelerometerBachata dance steps |
| spellingShingle | Kemal Avci Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance steps Scientific Reports Wearable activity tracker BBC:microbit board Accelerometer Bachata dance steps |
| title | Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance steps |
| title_full | Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance steps |
| title_fullStr | Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance steps |
| title_full_unstemmed | Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance steps |
| title_short | Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance steps |
| title_sort | development of a wearable activity tracker based on bbc micro bit and its performance analysis for detecting bachata dance steps |
| topic | Wearable activity tracker BBC:microbit board Accelerometer Bachata dance steps |
| url | https://doi.org/10.1038/s41598-024-78064-4 |
| work_keys_str_mv | AT kemalavci developmentofawearableactivitytrackerbasedonbbcmicrobitanditsperformanceanalysisfordetectingbachatadancesteps |