
pmid: 17945965
In the context of the growing proportion of seniors in the western world population and the efforts provided in home care services, we have developed a computer vision system for monitoring medication intake. The system detects automatically medication intake using a single low-cost webcam. Person detection and tracking over the video sequence is done using color-based techniques while the recognition of the medication intake activity is performed using our main contribution, a three-level scenario model. Experimental results in controlled conditions are shown and we discuss improvements to our system.
Likelihood Functions, Models, Statistical, Video Recording, Reproducibility of Results, Home Care Services, Telemedicine, Pattern Recognition, Automated, Drug Therapy, Pharmaceutical Preparations, Risk Factors, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Polypharmacy, Humans, Patient Compliance, Algorithms, Aged
Likelihood Functions, Models, Statistical, Video Recording, Reproducibility of Results, Home Care Services, Telemedicine, Pattern Recognition, Automated, Drug Therapy, Pharmaceutical Preparations, Risk Factors, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Polypharmacy, Humans, Patient Compliance, Algorithms, Aged
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
