Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a method for indexing human activities in videos captured from a arable camera being worn by patients, for studies of progression of the dementia diseases. Our method aims to produce indexes to facilitate the navigation throughout the individual video recordings, which could help doctors search for early signs of the disease in the activities of daily living. The recorded videos have strong motion and sharp lighting changes, inducing noise for the analysis. The proposed approach is based on a two steps analysis. First,  propose a new approach to segment this type of video, based on apparent motion. Each segment is characterized by two original motion descriptors, as ll as color, and audio descriptors. Second, a Hidden-Markov Model formulation is used to merge the multimodal audio and video features, and classify the test segments. Experiments show the good properties of the approach on real data.
['Svebor Karaman', 'Jenny Benois-Pineau', 'Rémi Mégret', 'Julien Pinquier', 'Yann Gaestel', 'Jean-François Dartigues']
I am writing a research paper on a idea Activities of daily living indexing by hierarchical HMM for dementia diagnostics
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