๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Phonocardiographic Signal Analysis Method Using a Modified Hidden Markov Model

โœ Scribed by Ping Wang; Chu Sing Lim; Sunita Chauhan; Jong Yong A. Foo; Venkataraman Anantharaman


Book ID
106333535
Publisher
Springer
Year
2006
Tongue
English
Weight
378 KB
Volume
35
Category
Article
ISSN
0090-6964

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Hand gesture recognition using a real-ti
โœ Feng-Sheng Chen; Chih-Ming Fu; Chung-Lin Huang ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 694 KB

In this paper, we introduce a hand gesture recognition system to recognize continuous gesture before stationary background. The system consists of four modules: a real time hand tracking and extraction, feature extraction, hidden Markov model (HMM) training, and gesture recognition. First, we apply

Dynamic footprint-based person recogniti
โœ Jin-Woo Jung; Tomomasa Sato; Zeungnam Bien ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 240 KB

Many diverse methods have been developed in the field of biometric identification as a greater emphasis is placed on human friendliness in the area of intelligent systems. One emerging method is the use of footprint shape. However, in previous research, there were some limitations resulting from the