Michael R. Narayanan

According to our database, Michael R. Narayanan authored at least 11 papers between 2006 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Low-Power Fall Detector Using Triaxial Accelerometry and Barometric Pressure Sensing.

Changhong Wang, Wei Lu, Michael R. Narayanan, David Chan-Wei Chang, Stephen R. Lord, Stephen James Redmond, Nigel H. Lovell

IEEE Trans. Ind. Informatics, 2016

2014

A low-power fall detection algorithm based on triaxial acceleration and barometric pressure.

Changhong Wang, Michael R. Narayanan, Stephen R. Lord, Stephen J. Redmond, Nigel H. Lovell

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Inertial measurements of free-living activities: Assessing mobility to predict falls.

Kejia Wang, Nigel H. Lovell, Michael B. Del Rosario, Ying Liu, Jingjing Wang, Michael R. Narayanan, Matthew A. Brodie, Kim Delbaere, Jasmine Menant, Stephen R. Lord, Stephen J. Redmond

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Pilot evaluation of an unobtrusive system to detect falls at nighttime.

Stephen J. Redmond, Zhaonan Zhang, Michael R. Narayanan, Nigel H. Lovell

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Validation of an accelerometer-based fall prediction model.

Ying Liu, Stephen J. Redmond, Tal Shany, Jane Woolgar, Michael R. Narayanan, Stephen R. Lord, Nigel H. Lovell

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Design of an unobtrusive system for fall detection in multiple occupancy residences.

Arni Ariani, Stephen James Redmond, Zhaonan Zhang, Michael R. Narayanan, Nigel H. Lovell

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2011

Spectral Analysis of Accelerometry Signals From a Directed-Routine for Falls-Risk Estimation.

Ying Liu, Stephen James Redmond, Ning Wang, Fernando Blumenkron, Michael R. Narayanan, Nigel H. Lovell

IEEE Trans. Biomed. Eng., 2011

Design of an unobtrusive wireless sensor network for nighttime falls detection.

Zhaonan Zhang, Udyant Kapoor, Michael R. Narayanan, Nigel H. Lovell, Stephen J. Redmond

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Classification between non-multiple fallers and multiple fallers using a triaxial accelerometry-based system.

Ying Liu, Stephen J. Redmond, Michael R. Narayanan, Nigel H. Lovell

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Longitudinal Falls-Risk Estimation Using Triaxial Accelerometry.

Michael R. Narayanan, Stephen James Redmond, Maria Elena Scalzi, Stephen R. Lord, Branko G. Celler, Nigel H. Lovell

IEEE Trans. Biomed. Eng., 2010

2006

Implementation of a Real-Time Human Movement Classifier Using a Triaxial Accelerometer for Ambulatory Monitoring.

Dean M. Karantonis, Michael R. Narayanan, M. Mathie, Nigel H. Lovell, Branko G. Celler

IEEE Trans. Inf. Technol. Biomed., 2006