인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The work is devoted to the modification and improvement of a neural network system for classifying human actions by changing the position of points of his skeleton. Within the framework of this paper, the description and results of some experiments on modification of the system developed by the authors several years ago will be presented. The experiments include new methods of augmenting the training data, removing some elements of the network, using a completely different representation of the data as a sequence of pictures rather than a set of points, using memory values and the state of the hidden LSTM cell as the output of the network instead of its direct output, and a variant of the network with the introduction of a new layer of feature encoding at the stage of sending skeletal point data to the recurrent LSTM network. The network with different layer configurations was trained multiple times, and the run data was averaged to remove the influence of randomness. In the end, the best network for the network was the one with pre-coded features.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.