Name
Abstract | ||
|---|---|---|
When a patient comes to hospital and able to walk then he could be conscious, walking but he need help from hospital staff if he is not feeling well. The time he comes for consolation to doctor, it may be late and he may be more critical. Lets call this situation ‘pre-consultation urgent help needed.’ Many times it happened that when person coming to hospital is not well and needs urgent attention, he is pointed to reception counter to queue in for consultation. So, some mechanism is needed to detect that person coming to hospital needs urgent help or not. Gait is considered best for this situation where person might not be able to come to machine to give biometric information. This paper discusses gait recognition and its suitability in the case of ‘pre-consultation urgent help needed’ and implements this functionality. Also with the gait, it could be detected whether a person has homeostasis or not. Feature extraction was performed on each image frame of live video, and SVM was used to classify the gait detected from the person’s live image frame. The system uses MS Kinect as hardware and is very cost-effective. Experimental results show 96 % recognition accuracy. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s11760-013-0588-1 | Signal, Image and Video Processing |
Keywords | Field | DocType |
Gait, Kinect, SVM, Classifier, Biometric | Computer vision,Gait,Image frame,Feature extraction,Artificial intelligence,Delegation (computing),Biometrics,Classifier (linguistics),Mathematics,Feeling | Journal |
Volume | Issue | ISSN |
9 | 6 | 1863-1711 |
Citations | PageRank | References |
4 | 0.41 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jagdish Lal Raheja | 1 | 164 | 14.88 |
| Ankit Chaudhary | 2 | 196 | 18.51 |
| K. Nandhini | 3 | 4 | 0.41 |
| Somsukla Maiti | 4 | 6 | 0.78 |