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Sony DCR-TRV250EBoxWave DirectSync Sony DCR-TRV250E Cable bw-14-1793-0
DirectSync Cable is 3 feet in length and is a durable - standard - low-cost cable for your Sony DCR-TRV250E!

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Part Number: bw-14-1793-0
UPC: 0011540451849, 011540451849


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Manual

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Sony DCR-TRV250E, size: 9.3 MB

 

Sony DCR-TRV250E

 

 

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User reviews and opinions

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Comments to date: 9. Page 1 of 1. Average Rating:
DrinkMan75 4:14pm on Monday, November 1st, 2010 
A longish review! The SONY DCR TRV250E is a very useful bit of kit. A camcorder with all the usual functions such as the record button. This is a fantastic digital camera and excellent value. Digital zoom to x700, amazing video streaming ability.
bbaldwin 4:43am on Thursday, October 28th, 2010 
They fixed the problem for free! After short period of use, LCD blank and would not record.
br_ooouser 6:09pm on Monday, September 6th, 2010 
This is a fantastic digital camera and excellent value. It is not too dinky to use but not big and bulky.
Xerox 2:53pm on Sunday, August 29th, 2010 
Compact size, great pictures/recordings, easy to use. Electronic failure after 3 years.
fredgraham 4:34am on Friday, July 30th, 2010 
This is one of the better Digital Camcorders on the market. 1.5" colour screen, night shot no steady shot
jayant7k 10:08am on Friday, July 2nd, 2010 
Had the Sony DCR-TRV250, less than a year and a half, (Purchased 10/28/03), in time for my son to be born 11/03. Great Picture, ease of use.
Rikk03 5:37am on Friday, June 4th, 2010 
To Download from Sony DCR-TRV250 Camcorder to PC through the Supplied S/w is very diffcult and time consuming moreover the s/w doe... This Sony DCR-TRV250 camcorder is fantastic with all of the things you need with it!! Hello. Started off with a analogue Sony TRV57E what a great little camcorder no problems encountered still going strong several years lat...
ChrisChambers 11:16am on Thursday, April 29th, 2010 
My Best Camcorder My new camcorder works great, it has been almost impossible to find this model and I did and it is great. Thanks. Still the best after all these years.
rona 12:48am on Friday, March 26th, 2010 
This product sucks- do not buy!!! We purchased this product in 8/03 and have hardly used it since then (maybe a total of 10 hours recording time).

Comments posted on www.ps2netdrivers.net are solely the views and opinions of the people posting them and do not necessarily reflect the views or opinions of us.

 

Documents

doc0

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doc1

Three-Dimensional Thumb Motion Parameterization

J. Havlk, Z. Horck

This paper deals with three-dimensional thumb motion parameterization based on image processing. The nger motion is recorded using two camcorders shooting from two linear independent directions. This contribution describes the video records processing used for obtaining of thumb motion trajectory projection to the scan planes of camcorders. Subsequently there is explained the three-dimensional parameterization of thumb motion from the scan plane projections in this paper. The parameterized motions are used in biomedical engineering for research on correlations between a nger motions and a human brain activity. Keywords: motion parameterization, image processing

1. Introduction

The research of correlation between the human brain and muscle activity is one of the most important tasks in current biomedical engineering. The knowledge of this correlation would be signicant for a comprehension of the human brain function. Due to a complexity of human brain function it is proper to restrict the research to a simple body motion. The free three-dimensional motion of thumb has been chosen as the appropriate motion. The muscle activity is represented by the parameters of the thumb trajectory, the brain activity is represented by the electro-encephalograph (EEG) signals. There are a few requirements to have to be met during the recording of the thumb motion:
contactless sensing, The sensing of thumb motion has to be strictly contactless, because any contact between the thumb and sensor could affect the EEG signals through neural feedbacks. Not only for that reason the sensing is based on video recording. data synchronization. The video records have to be synchronized with at the same time recorded EEG signals to allow the research correlations between these signals.

2. Signals Recording

As it is written above the sensing process is completely contactless. The thumb motion is shot by two camcorders from two linear independent directions (see Figure 1). The standard DV camcorders (Sony DCR-TRV250E) are used for video recording. The distance between each camcorder and the sensed object is approximately 1.3 m, the distance between the camcorders is approximately 1 m. The outputs of recording are two video sequences in PAL standard (pixels, 25 frames per second) stored on a tape. The thumb is marked by special mark, concentric black and white circles (see Figure 3). The thumb motion is parameterized tracing these marks as is described further.
Ing. Jan HAVLIK, FEE CTU in Prague, Technicka 2, CZ-Praha 6, phone: +352 048, email: xhavlikj@fel.cvut.cz Ing. Zdenek HORCIK, FEE CTU in Prague, Technicka 2, CZ-Praha 6, phone: +352 049, email: horcik@fel.cvut.cz
The EEG signals are sensed using the standard EEG measuring device (see Figure 2) and stored directly to a personal computer. The synchronization between the video and EEG signals is realized using the blinking LED [2], the light from LED is recorded to the video sequences (see Figure 3) and the rectangular drive signal is recorded to the EEG measuring device.
Figure 1 General Diagram of Video Recording
Figure 2 Sensing Laboratory
3. Motion Parameterization
Recorded video sequences are stored in personal computer after the video recording. The general diagram of the parameterization process is shown in Figure 4. Both video sequences are pre-processed and 2-D parameterized separately. The input frames are converted to 8 bit greyscale representation rstly. The edge detection based on Roberts algorithm is applied after the conversion. The edge density, the number of edges in selected area, are computed from the edge image. In aspect of thumb mark shape it is evident that the location of mark approximately corresponds to the maximum of edge density. By that reason the area of interest, a small image placed around the maximum of edge density, is cut out from the frame. The area of interest is thresholded to 1 bit B/W image using the triangle algorithm [3]. The mass centre of the mark is computed from the thresholded image at the next step.

(a) Left camcorder

(b) Right camcorder
Figure 3 Example of stored frames
The results of 2-D parameterization are matrices with the sequence of mass centres coordinates for each mark in each frame. Each matrix corresponds with one input video sequence. The mean difference between the computed mass centres and the coordinates determined by manual process is less than 0.5 px [1].

The three-dimensional coordinates are computed after these two 2-D parameterizations. The optical axes of both camcorders lie in the plane xy (see Figure 1) and the thumb moves in general 3-D space xyz. Designate us the scan plane of rst camcorder as az and the scan plane of second camcorder as bz (see Figure 5). The aim of 3-D parameterization is to nd the original coordinates [x, y, z] of thumb mark if we know the projection to the scan planes az and bz.

CAMCORDER #1

2-D PARAMETERIZATION

3-D PARAMETERIZATION

PARAMETERIZED MOTIONS

CAMCORDER #2

Figure 4 General Diagram of Parameterization
Lets have a vector dr representing the thumb mark motion between two following frames. Using the camcorders the projections da and db are scanned. The magnitudes of vectors dx and dy could be computed as the intersection point coordinates of straight lines (1) parallel with camcorders optical axes and goes through the nal point of the vector dr. da dy = tan dx sin 2 db dy = tan + dx + sin 2 For the intersection point we can write using these equations da db dx = tan + dx +. 2 sin 2 sin
Solving (2) we get the result 1 da + db 2 sin
and substituting this result to (1) we get nally 1 da db. 2 sin
The magnitude of vector dz directly equals the z component of the projections da and db. It could be computed as the average zda + zdb. 2
The result of 3-D parameterization is the sequence of coordinates [x, y, z] representing the thumb motion trajectory. The rst term of this sequence is [0, 0, 0], the next elements represent the change of thumb mark location in appropriate frames. It means that all motions are traced relatively, it is no information about the real location of the thumb mark there, but it is only the information about the change of this location there.

4. Results

Presented parameterization was tested on the set of video sequences with thumb motions. The thumb moved between 4 stationary positions, one move was made with each synchronization pulse. The period of synchronization signal was 2 seconds, the length of video sequences was approximately 20 minutes (30000 frames, 600 moves). Usual duration of one move is a few frames, the rest of period is the stationary state. The scanned person was free to choose the direction of move. The video sequences were recorded in PAL standard (pixels, 25 frames per second), each frame of video sequences was processed as two separate half frames.

X Component [-]

1 0.-0.5 -1

SCA NP LAN E#

Y Component [-]

Half frame [-]

db dx da a x

1 0.-0.5 -1 1

E# LAN NP SCA

Z Component []

-0.5 -1
Figure 5 Vector Decomposition
Figure 6 Parameterization Result
The result of parameterization process is shown in Figure 6 (computed for rst 10000 half frames). The sequences of x, y and z coordinates are shown in this gure. The coordinates are normalized for the better transparency. The stationary states and the moves are visible very well.

5. Conclusion

The three-dimensional motion parameterization based on image processing was presented in this paper. A very low hardware requirements are the great advantage of presented method. There is no requirement to special hardware, the presented method requires only a pair of standard cheap DV camcorders for a video recording of the thumb motion and a personal computer for off-line processing of recorded video sequences. The experiments could be done in common neurological laboratory with standard EEG measuring device. There are no additional spatial requirements. The results of presented parameterization are appropriate to a thumb motion classication and to a research of correlations between the muscle and brain activity. This work has been supported by the research program No. MSM 6840770012 of the Czech Technical University in Prague (sponsored by the Ministry of Education, Youth and Sports of the Czech Republic).

References

[1] J. Havlk and Z. Horck, Finger motion parameterization based on image processing, in Biosignal 2004, pp. 321323, VUTIM Press, Brno, 2004. [2] J. Havlk and Z. Horck, Synchronization of EEG and video signals (in Czech), in Matlab 2004, pp. 186189, Humusoft, Prague, 2004. [3] G. W. Zack, W. E. Rogers, and S. A. Latt, Automatic measurement of sister chromatid exchange frequency, The Journal of Histochemistry and Cytochemistry, vol. 25, no. 7, pp. 741 753, 1977.

 

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