Navid Amini, Ph.D.
Affiliations: | 2012 | Computer Science 0201 | University of California, Los Angeles, Los Angeles, CA |
Area:
Embedded systems, health analytics, biomedical systems, and algorithm designGoogle:
"Navid Amini"Parents
Sign in to add mentorMajid Sarrafzadeh | grad student | 2012 | UCLA | |
(Transmission Power Management for Wireless Health Applications.) |
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Publications
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Ma Y, Esna Ashari Z, Pedram M, et al. (2019) CyclePro: A Robust Framework for Domain-Agnostic Gait Cycle Detection Ieee Sensors Journal. 19: 3751-3762 |
Ghasemzadeh H, Amini N, Saeedi R, et al. (2015) Power-aware computing in wearable sensor networks: An optimal feature selection Ieee Transactions On Mobile Computing. 14: 800-812 |
Ma Y, Henry S, Kierlanczyk A, et al. (2015) Investigation of gait characteristics in glaucoma patients with a shoe-integrated sensing system 2015 Ieee International Conference On Pervasive Computing and Communication Workshops, Percom Workshops 2015. 433-438 |
Ma Y, Amini N, Ghasemzadeh H. (2015) Wearable sensors for gait pattern examination in glaucoma patients Microprocessors and Microsystems |
Noshadi H, Dabiri F, Ahmadian S, et al. (2013) HERMES: Mobile system for instability analysis and balance assessment Transactions On Embedded Computing Systems. 12 |
Xu W, Huang MC, Amini N, et al. (2013) ECushion: A textile pressure sensor array design and calibration for sitting posture analysis Ieee Sensors Journal. 13: 3926-3934 |
Amini N, Vahdatpour A, Xu W, et al. (2012) Cluster Size Optimization in Sensor Networks with Decentralized Cluster-Based Protocols. Computer Communications. 35: 207-220 |
Xu W, Huang MC, Amini N, et al. (2012) Smart insole: A wearable system for gait analysis Acm International Conference Proceeding Series |
Ghasemzadeh H, Amini N, Sarrafzadeh M. (2012) Energy-efficient signal processing in wearable embedded systems: An optimal feature selection approach Proceedings of the International Symposium On Low Power Electronics and Design. 357-362 |
Vahdatpour A, Amini N, Xu W, et al. (2011) Accelerometer-based on-body sensor localization for health and medical monitoring applications. Pervasive and Mobile Computing. 7: 746-760 |