您的位置: 首页 > 农业专利 > 详情页

ARTIFICIAL NEURAL NETWORKS FOR HUMAN ACTIVITY RECOGNITION
专利权人:
发明人:
Danilo Pietro PAU,Emanuele PLEBANI
申请号:
US15280463
公开号:
US20180089586A1
申请日:
2016.09.29
申请国别(地区):
US
年份:
2018
代理人:
摘要:
Human activities are classified based on activity-related data and an activity-classification model trained using a classification-equalized training data set. A classification signal is generated based on the classifications. The classification-equalized training data set, may, for example, includes a first class having a first sequence length and a number of samples N, and one or more additional classes each having a respective sequence length tj and a respective number of samples Nj determined based on the number of samples N of the first class. For example, a respective sequence length tj and a respective number of samples Nj which satisfy: (i) Nj>N, for sequence length tj and (ii) Nj
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充