Metrics to Evaluate The Quality of Motion Compensation Systems in De-interlacing And Up-conversion Applications

Nicolas, Marina; Roussel, J.; Crété, Frederique

doi:10.1109/icce.2008.4588037

Cited by 3 publications

References 8 publications

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The motion influence on respiration rate estimation from low-resolution thermal sequences during attention focusing tasks

Kwaśniewska

Rumiński

Wtorek

2017

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Global aging has led to a growing expectancy for creating home-based platforms for indoor monitoring of elderly people. A motivation is to provide a non-intrusive technique, which does not require special activities of a patient but allows for remote monitoring of elderly people while assisting them with their daily activities. The goal of our study was to evaluate motion performed by a person focused on a specific task and check if this motion disrupts estimation of respiration rate. The preliminary results show that it is possible to reliable estimate respiration rate by focusing attention of a patient on a certain activity. The respiratory rate analyzed for silent reading task was estimated with mean error 0.27 breaths per minute (bpm), while for reading aloud task with 1.18 bpm. The observed head motion during the reading aloud task was 1.5 higher that for silent reading and about two times smaller for a case in which subjects were not focused on any task.

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