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Content Provider | IEEE Xplore Digital Library |
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Author | Rajendran, K. Samraj, A. Rajavel, M. |
Copyright Year | 2013 |
Description | Author affiliation: Dept. of Inf. Technol., Mahendra Eng. Coll., Salem, India (Samraj, A.) || Sch. of Comput. Sci. & Eng., VIT Univ., Chennai, India (Rajendran, K.; Rajavel, M.) |
Abstract | Monitoring patients on crucial and emergency conditions on clinical basis involve mandatory periodical but lively communication between patient and caretakers. Miscommunication leads to adverse effects and failure in life saving. A simple wearable system can interpret the implicit communication of the users to the caretakers or to an automated life support device. Simple and obvious hand movements or activity may be used for the above purpose. But the challenge is in interpretation of clear and well distinct input classes extracted from the wearable. The proposed system suggests well distinct classes of gestures that are suitable for such system developments. It also gives a clear insight about the combinations that are not very suitable for such implicit communication. The experimental results show that the realization of suggested hand movement activity sets over the coupling of other movements for classes' is always have distinct thresholds which are reliable for error free communication. |
Sponsorship | IEEE Region 10 - Asia Pacific |
Starting Page | 264 |
Ending Page | 269 |
File Size | 560972 |
Page Count | 6 |
File Format | |
ISBN | 9781467356534 |
ISSN | 21660662 |
DOI | 10.1109/ISMS.2013.108 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-01-29 |
Publisher Place | Thailand |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Emergency response Materials Data gloves Wearable computing Biosignal processing Educational institutions Matrix decomposition Affective-gesture computing Patient monitoring Euclidean distance Sensors Robotic interface Robots |
Content Type | Text |
Resource Type | Article |
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