A real-time ECG-processing platform for telemedicine applications

Author(s):  
Sandeep Raj
2021 ◽  
Vol 1 (2) ◽  
pp. 9-15
Author(s):  
V Mareeswari ◽  
Sunita S Patil ◽  
Ramanan G

Sentiment Analysis is becoming the field of focus with time considering the user experience weighs much more for the business to grow and for the studies as well. The sentimental expressions refers to the emotions or feeling of a person across certain point of focus or issues. So, in this project, with the assistance of Apache Spark Framework, an open source data streaming and processing platform, sentiment evaluation is done on the tweets from Twitter by the means of real time processing as well as an Ad-hoc Run. Some preprocessing of the textual data has been done upon for better characteristics extraction thus resulting in greater accuracy. The validation of this has been done for achieving better result by comparing the other processes when Naive Bayes algorithm is used.


2015 ◽  
Author(s):  
Kai Ni ◽  
Mingfei Xu ◽  
Qian Zhou ◽  
Hao Dong ◽  
Xinghui Li ◽  
...  

2008 ◽  
Vol 381-382 ◽  
pp. 375-378
Author(s):  
K.T. Song ◽  
M.J. Han ◽  
F.Y. Chang ◽  
S.H. Chang

The capability of recognizing human facial expression plays an important role in advanced human-robot interaction development. Through recognizing facial expressions, a robot can interact with a user in a more natural and friendly manner. In this paper, we proposed a facial expression recognition system based on an embedded image processing platform to classify different facial expressions on-line in real time. A low-cost embedded vision system has been designed and realized for robotic applications using a CMOS image sensor and digital signal processor (DSP). The current design acquires thirty 640x480 image frames per second (30 fps). The proposed emotion recognition algorithm has been successfully implemented on the real-time vision system. Experimental results on a pet robot show that the robot can interact with a person in a responding manner. The developed image processing platform is effective for accelerating the recognition speed to 25 recognitions per second with an average on-line recognition rate of 74.4% for five facial expressions.


2014 ◽  
Vol 971-973 ◽  
pp. 1454-1458
Author(s):  
Lei Qu ◽  
Yan Tian ◽  
Jun Liu

For real time target detection, identification and tracking in high frame rates, large field of view images, a real-time image processing system is designed. A TMS320C6678 DSP runs as the chief arithmetic processor of this system and FPGA as the secondary controller. C6678 is compared with the same series C6414 in image compression algorithm test. Experimental results show that the new system has a more effective construct, and higher reliability, and can provide a platform for the new high-speed image processing.


2011 ◽  
Vol 328-330 ◽  
pp. 989-997
Author(s):  
Yuan Yuan ◽  
Zhi Yong Liu ◽  
Huai Kun Xiang ◽  
Ze Feng Ding

Referring to research findings of existing traffic survey instrument, this paper bases on electronic traffic survey counter to insert GPRS module, micro-program controller, vehicle type selection keyboard and direction selection keyboard, and utilizes computer technology to establish data processing platform, studies and designs the traffic survey system on the basis of GPS, GPRS and GIS. This system can realize real-time monitoring on surveyors, accurate and timely transmission and processing of survey data, and automatic analysis and management of survey data.


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