Abstract: There has been research interest in using the micro Doppler effect for contactless measurements of human respiration. Most of the research assumes that the test subject remains stationary. The purpose of this paper is to detect a respiration signal from a walking human. This work is at an early stage, and MATLAB model for a walking human with respiration movement was used, instead of recreating an actual human walking case. The results from this study show that a respiration signal can be successfully extracted from a walking human model.

• Publication Date: 21-Dec-2014
• DOI: 10.15224/978-1-63248-034-7-43
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Abstract: Word Sense Disambiguation (WSD) is one of the core challenging area for researchers since several decades and it plays a crucial role in all natural language processing (NLP) applications viz. Information Retrieval, Information Extraction, Question Answering, Text Mining, Machine Translation etc. Researchers defined WSD as to identify the actual meaning of a word based on the context in which it occurs. Whereas in linguistic, context is defined as the text in which a word or passage appears and which helps ascertain its meaning. Hence, context of a word depends on different part of speech (POS) of a sentence i.e. Noun, Verb, pronoun, adjective and adverb. This paper proposes a novel approach for context based word sense disambiguation using soft sense disambiguation, map-reduce, knowledge based multimodal algorithm and WordNet.

• Publication Date: 21-Dec-2014
• DOI: 10.15224/978-1-63248-034-7-44
• Views: 0
• Downloads: 0