LSTM-Based Analysis of a Hip-Hop Movement
| Autor: | Anitha Sarah Koshy, V N Megharjun, Viswanath Talasila, S Samprita |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Dance
Movement (music) business.industry Heuristic Computer science 010401 analytical chemistry 020206 networking & telecommunications 02 engineering and technology Machine learning computer.software_genre 01 natural sciences 0104 chemical sciences Movement analysis Constructive criticism Inertial measurement unit 0202 electrical engineering electronic engineering information engineering Artificial intelligence business computer Amateur |
| Zdroj: | 2020 6th International Conference on Control, Automation and Robotics (ICCAR). |
| DOI: | 10.1109/iccar49639.2020.9108052 |
| Popis: | This paper presents a heuristic approach to analyse the movement of a specific style of hip-hop dance. The data is acquired using a 3-axis IMU and an LSTM network is used to train the data to classify the movement into various phases, each having a distinct sequence of motions, in order to evaluate the performance of the dancer which is otherwise difficult for the human eye. An expert dancer and amateurs' data are compared and the results so obtained can be used to provide constructive criticism to the amateur in order for them to improve. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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