A cloud-based scene recognition framework for in-home assistive robots
| Autor: | Antonio Sgorbissa, Roberto Menicatti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Telerobotics Computer science Process (engineering) business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Cloud computing 02 engineering and technology Activity recognition Naive Bayes classifier 020901 industrial engineering & automation Human–computer interaction 0202 electrical engineering electronic engineering information engineering Assistive robot Robot 020201 artificial intelligence & image processing business |
| Zdroj: | RO-MAN |
| Popis: | The rapidly increasing number of elderly people has led to the development of in-home assistive robots for assisting and monitoring elderly people in their daily life. To these ends, indoor scene and human activity recognition is fundamental. However, image processing is an expensive process, in computational, energy, storage and pricing terms, which can be problematic for consumer robots. For this reason, we propose the use of computer vision cloud services and a Naive Bayes model to perform indoor scene and human daily activity recognition. We implement the developed method on the telepresence robot Double to make it autonomously find and approach the person in the environment as well as detect the performed activity. |
| Databáze: | OpenAIRE |
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