کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
466311 697822 2010 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Wearable sensor activity analysis using semi-Markov models with a grammar
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
Wearable sensor activity analysis using semi-Markov models with a grammar
چکیده انگلیسی

Detailed monitoring of training sessions of elite athletes is an important component of their training. In this paper we describe an application that performs a precise segmentation and labeling of swimming sessions. This allows a comprehensive breakdown of the training session, including lap times, detailed statistics of strokes, and turns. To this end we use semi-Markov models (SMM), a formalism for labeling and segmenting sequential data, trained in a max-margin setting. To reduce the computational complexity of the task and at the same time enforce sensible output, we introduce a grammar into the SMM framework. Using the trained model on test swimming sessions of different swimmers provides highly accurate segmentation as well as perfect labeling of individual segments. The results are significantly better than those achieved by discriminative hidden Markov models.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pervasive and Mobile Computing - Volume 6, Issue 3, June 2010, Pages 342–350
نویسندگان
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