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The accurate classification of everyday movements from accelerometry data will provide a significant step towards the development of effective ambulatory monitoring systems for falls detection and prediction. The search continues for optimal front-end processing methods for use in accelerometry systems. Here, we propose a novel set of time domain features, which achieve a mean accuracy of 91.3% in...
The design of an intelligent toothbrush, capable of monitoring brushing motion, orientation through the grip axis, during toothbrushing is described. Inappropriate tooth-brushing styles, even in adults, sometimes cause dental problems, cavities, gingivitis, etc. This smart system provides user to monitor his or her brushing pattern using accelerometer and magnetic sensors for evaluation of toothbrushing...
The accurate classification of everyday movements from accelerometry data will provide a significant step towards the development of effective ambulatory monitoring systems for falls detection and prediction. The search continues for optimal front-end processing methods for use in accelerometry systems. Here, we propose a novel set of time domain features, which achieve a mean accuracy of 91.3% in...
Tri-axial accelerometers (triax) can estimate energy expenditure with a correlation of approximately 0.9. We explored the idea of developing an alternative non-contact method to estimate energy expenditure. In this paper, we present a statistical analysis of infrared sensor data and tri-axial accelerometer data to investigate a relationship between the infrared sensor outputs and energy expenditure...
The design of an intelligent toothbrush, capable of monitoring brushing motion, orientation through the grip axis, during toothbrushing is described. Inappropriate tooth-brushing styles, even in adults, sometimes cause dental problems, cavities, gingivitis, etc. This smart system provides user to monitor his or her brushing pattern using accelerometer and magnetic sensors for evaluation of toothbrushing...
Tri-axial accelerometers (triax) can estimate energy expenditure with a correlation of approximately 0.9. We explored the idea of developing an alternative non-contact method to estimate energy expenditure. In this paper, we present a statistical analysis of infrared sensor data and tri-axial accelerometer data to investigate a relationship between the infrared sensor outputs and energy expenditure...
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