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General requirements of the curriculum design Algorithm design: The required data structure is designed, the algorithm idea and algorithm steps are given, and the time

General requirements of the curriculum design

  1. Algorithm design: The required data structure is designed, the algorithm idea and algorithm steps are given, and the time complexity of the algorithm is analyzed.
  2. Annotated source code: Paste the source code, preferably annotate the code.
  3. Program run results: Paste the running result screenshot of the source code.
  4. Summary: Summarize what kinds of problems you encounter during the course of implementation and how to take the solutions etc.

Huffman Code

[Problem Description]

For an English article, the frequency of occurrence of 26 lowercase letters is counted, and then they are encoded by Hoffman code.

[Basic Requirements]

  1. Read the original text file from the file and display the text on the screen..

Output the number of occurrences of 26 English lowercase letters, and the corresponding Hoffman code.

At present, most of the dynamic sign language recognition is only for sign language words,

the continuous sign language sentence recognition research and the corresponding results

are less, because the segmentation of such sentence is very difficult. In this paper, a sign language

sentence recognition algorithm is proposed based on weighted key frames. Key frames can be regarded

as the basic unit of sign word, therefore, according to the key frames we can get related vocabularies,

and thus we can further organize these vocabularies into meaningful sentence. Such work can avoid

the hard point of dividing sign language sentence directly. With the help of Kinect, i.e. motion-control

device, a kind of self- adaptive algorithm of key frame extraction based on the trajectory of sign language

is brought out in the paper. After that, the key frame is given weight according to its semantic contribution.

Finally, the recognition algorithm is designed based on these weighted key frames and thus get the continuous

sign language sentence. Experiments show that the algorithm designed in this paper can realize real-time

recognition of continuous sign language sentences.

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