ArticleSensors (Basel, Switzerland)2022
Recognizing Solo Jazz Dance Moves Using a Single Leg-Attached Inertial Wearable Device.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 6 citations in OpenAlex.
- Unlocking Creative Movement with Inertial Technology.Brain sciences · 2025Article
- Development of a wearable activity tracker based on BBC micro:bit and its performance analysis for detecting bachata dance steps.Scientific reports · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
We present here a method for recognising dance moves in sequences using 3D accelerometer and gyroscope signals, acquired by a single wearable device, attached to the dancer's leg. The recognition entails dance tempo estimation, temporal scaling, a wearable device orientation-invariant coordinate system transformation, and, finally, sliding correlation-based template matching. The recognition is independent of the orientation of the wearable device and the tempo of dancing, which promotes the usability of the method in a wide range of everyday application scenarios. For experimental validation, we considered the versatile repertoire of solo jazz dance moves. We created a database of 15 authentic solo jazz template moves using the performances of a professional dancer dancing at 120 bpm. We analysed 36 new dance sequences, performed by the professional and five recreational dancers, following six dance tempos, ranging from 120 bpm to 220 bpm with 20 bpm increment steps. The recognition
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