Watching Over System for Children in a Kindergarten based on a Human-monitoring Technology

[1]  Michael L. Littman,et al.  Activity Recognition from Accelerometer Data , 2005, AAAI.

[2]  Ye Li,et al.  Identifying typical physical activity on smartphone with varying positions and orientations , 2015, Biomedical engineering online.

[3]  Ganesh R. Naik,et al.  Using Blind Source Separation on accelerometry data to analyze and distinguish the toe walking gait from normal gait in ITW children , 2014, Biomed. Signal Process. Control..

[4]  Sasan Adibi,et al.  mHealth Multidisciplinary Verticals , 2014 .

[5]  Ling Bao,et al.  Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.

[6]  Ig-Jae Kim,et al.  Activity Recognition Using Wearable Sensors for Elder Care , 2008, 2008 Second International Conference on Future Generation Communication and Networking.

[7]  Gary M. Weiss,et al.  Activity recognition using cell phone accelerometers , 2011, SKDD.

[8]  Satoshi Suzuki,et al.  Improvement of activity recognition for child growth monitoring system at kindergarten , 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

[9]  Urbashi Mitra,et al.  Recognition of physical activities in overweight Hispanic youth using KNOWME Networks. , 2012, Journal of physical activity & health.

[10]  Nicole Ruch,et al.  Neural network versus activity-specific prediction equations for energy expenditure estimation in children. , 2013, Journal of applied physiology.

[11]  R.A. Brooks,et al.  The Intelligent Room project , 1997, Proceedings Second International Conference on Cognitive Technology Humanizing the Information Age.

[12]  Satoshi Suzuki,et al.  Activity recognition system for watching over infant children , 2013, 2013 IEEE RO-MAN.

[13]  Shrikant I Bangdiwala,et al.  Energy costs of physical activities in children and adolescents. , 2005, Medicine and science in sports and exercise.

[14]  Iván González,et al.  An Ambulatory System for Gait Monitoring Based on Wireless Sensorized Insoles , 2015, Sensors.

[15]  Jung Wook Park,et al.  Child Activity Recognition Based on Cooperative Fusion Model of a Triaxial Accelerometer and a Barometric Pressure Sensor , 2013, IEEE Journal of Biomedical and Health Informatics.

[16]  David R Bassett,et al.  2011 Compendium of Physical Activities: a second update of codes and MET values. , 2011, Medicine and science in sports and exercise.

[17]  Fabio Tozeto Ramos,et al.  Multi-scale Conditional Random Fields for first-person activity recognition , 2014, 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom).

[18]  James R. Lewis,et al.  IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use , 1995, Int. J. Hum. Comput. Interact..

[19]  Philip T. Kortum,et al.  Determining what individual SUS scores mean: adding an adjective rating scale , 2009 .

[20]  Diane J. Cook,et al.  Human Activity Recognition and Pattern Discovery , 2010, IEEE Pervasive Computing.

[21]  Yuhuang Zheng,et al.  Human Activity Recognition Based on the Hierarchical Feature Selection and Classification Framework , 2015, J. Electr. Comput. Eng..

[22]  Fumio Harashima,et al.  Activity recognition for children using self-organizing map , 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.

[23]  S. Rössner.  Childhood obesity and adulthood consequences , 1998, Acta paediatrica.

[24]  B. Taylor,et al.  Longitudinal study of physical activity and inactivity in preschoolers: the FLAME study. , 2009, Medicine and science in sports and exercise.