Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The use of hand gestures offers an alternative to the commonly used human---computer interfaces (i.e. keyboard, mouse, gamepad, voice, etc.), providing a more intuitive way of navigating among menus and in multimedia applications.  presents a dataset for the evaluation of hand gesture recognition approaches in human---computer interaction scenarios. It includes natural data and synthetic data from several State of the Art dictionaries. The dataset considers single-pose and multiple-pose gestures, as ll as gestures defined by pose and motion or just by motion. Data types include static pose videos and gesture execution videos--performed by a set of eleven users and recorded with a time-of-flight camera--and synthetically generated gesture images. A novel collection of critical factors involved in the creation of a hand gestures dataset is proposed: capture technology, temporal coherence, nature of gestures, representativeness, pose issues and scalability. Special attention is given to the scalability factor, proposing a simple method for the synthetic generation of depth images of gestures, making possible the extension of a dataset with new dictionaries and gestures without the need of recruiting new users, as ll as providing more flexibility in the point-of-view selection. The method is validated for the presented dataset. Finally, a separability study of the pose-based gestures of a dictionary is performed. The resulting corpus, which exceeds in terms of representativity and scalability the datasets existing in the State Of Art, provides a significant evaluation scenario for different kinds of hand gesture recognition solutions.
['Javier Molina', 'José Antonio Pajuelo', 'Marcos Escudero-Viñolo', 'Jesús Bescós', 'José M. Martínez']
I am writing a research paper on a idea A natural and synthetic corpus for benchmarking of hand gesture recognition systems
[{"from": "human", "value": "I am writing a research paper on a idea A natural and synthetic corpus for benchmarking of hand gesture recognition systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The use of hand gestures offers an alternative to the commonly used human---computer interfaces (i.e. keyboard, mouse, gamepad, voice, etc.), providing a more intuitive way of navigating among menus and in multimedia applications.  presents a dataset for the evaluation of hand gesture recognition approaches in human---computer interaction scenarios. It includes natural data and synthetic data from several State of the Art dictionaries. The dataset considers single-pose and multiple-pose gestures, as ll as gestures defined by pose and motion or just by motion. Data types include static pose videos and gesture execution videos--performed by a set of eleven users and recorded with a time-of-flight camera--and synthetically generated gesture images. A novel collection of critical factors involved in the creation of a hand gestures dataset is proposed: capture technology, temporal coherence, nature of gestures, representativeness, pose issues and scalability. Special attention is given to the scalability factor, proposing a simple method for the synthetic generation of depth images of gestures, making possible the extension of a dataset with new dictionaries and gestures without the need of recruiting new users, as ll as providing more flexibility in the point-of-view selection. The method is validated for the presented dataset. Finally, a separability study of the pose-based gestures of a dictionary is performed. The resulting corpus, which exceeds in terms of representativity and scalability the datasets existing in the State Of Art, provides a significant evaluation scenario for different kinds of hand gesture recognition solutions."}]