| Title | NeuronUnityIntegration2.0. A Unity Based Application for Motion Capture and Gesture Recognition |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Becattini, Federico, Ferracani, Andrea, Principi, Filippo, Ghianni, Marioemanuele, Del Bimbo, Alberto |
| Conference Name | Proceedings of the 27th ACM International Conference on Multimedia |
| Publisher | Association for Computing Machinery |
| Conference Location | Nice, France |
| ISBN Number | 978-1-4503-6889-6 |
| Keywords | composability, gesture recognition, motion capture, Predictive Metrics, pubcrawl, Resiliency, Support vector machines, unity, virtual reality |
| Abstract | NeuronUnityIntgration2.0 (demo video is avilable at http://tiny.cc/u1lz6y) is a plugin for Unity which provides gesture recognition functionalities through the Perception Neuron motion capture suit. The system offers a recording mode, which guides the user through the collection of a dataset of gestures, and a recognition mode, capable of detecting the recorded actions in real time. Gestures are recognized by training Support Vector Machines directly within our plugin. We demonstrate the effectiveness of our application through an experimental evaluation on a newly collected dataset. Furthermore, external applications can exploit NeuronUnityIntgration2.0's recognition capabilities thanks to a set of exposed API. |
| URL | https://doi.org/10.1145/3343031.3350598 |
| DOI | 10.1145/3343031.3350598 |
| Citation Key | becattini_neuronunityintegration20_2019 |
NeuronUnityIntegration2.0. A Unity Based Application for Motion Capture and Gesture Recognition