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3D Human pToopsice Estimation
, M.Sc. Thesis Sharif University of Technology ; Manzuri Shalmani, Mohammad Taghi (Supervisor)
Abstract
The purpose of this project is estimating the two-or three-dimensional human condition using existing data(images or video). Human pose estimation can be used in applications، including the detection of human behavior، animation،human computer interaction، physical therapy and، etc . We use sparse representation method to estimating human pose In this project .Sparse representation methods in recent years has been used in many fields and probably in pose estimation can achieve good results with this method
A full 360° vector-sum phase shifter with very low rms phase error over a wide bandwidth
, Article IEEE Transactions on Microwave Theory and Techniques ; Volume 60, Issue 6 PART 1 , 2012 , Pages 1626-1634 ; 00189480 (ISSN) ; Atarodi, M ; Sharif University of Technology
2012
Abstract
An innovative vector-sum phase shifter with a full 360° variable phase-shift range in 0.18-μm CMOS technology is proposed and experimentally demonstrated in this paper. It employs an I/Q network with high I/Q accuracy over a wide bandwidth to generate two quadrature basis vector differential signals. The fabricated chip operates in the 2.3-4.8 GHz range. The root-mean-square gain error and phase error are less than 1.1 dB and 1.4° over the measured frequency span, respectively. The total current consumption is 10.6 mA (phase shifter core: ∼2.6 mA) from a 1.8 V supply voltage and overall chip size is 0.87 × 0.75 mm 2. To the best of the authors' knowledge, this circuit is the first...
Shared and specific synchronous muscle synergies arisen from optimal feedback control theory
, Article 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09, Antalya, 29 April 2009 through 2 May 2009 ; 2009 , Pages 155-158 ; 9781424420735 (ISBN) ; Vahdat, S ; Vosoughi Vahdat, B ; National Institutes of Health, NIH; National Institute of Neurological Disorders and Stroke, NINDS; National Science Foundation, NSF ; Sharif University of Technology
2009
Abstract
In this study the properties of muscle synergies, arising from optimal feedback control are investigated. Three different tasks namely reaching, via-point, and hitting are performed using optimization of corresponding cost functions. Then by applying non-negative matrix factorization method to a dataset of muscle tensions, synchronous muscle synergies are obtained. In this way, different muscle patterns can be generated by linear combination of these basis vectors with non-negative time-varying scaling coefficients. According to our simulations some of obtained muscle synergies are shared between tasks and some of them are specific for one task. This finding is also in agreement with the...