发明名称 |
User emotion detection method and associated handwriting input electronic device |
摘要 |
A user emotion detection method for a handwriting input electronic device is provided. The method includes steps of: obtaining at least one handwriting input characteristic parameter; determining a user emotion parameter by an artificial neural network of the handwriting input electronic device according to the handwriting input characteristic value and at least one associated linkage value; displaying the user emotion parameter on a touch display panel of the handwriting input electronic device; receiving a user feedback parameter; determining whether to adjust the at least one associated linkage value and if yes, adjusting the at least one associated linkage value according to the user feedback parameter to construct and adjust the artificial neural network. |
申请公布号 |
US8885927(B2) |
申请公布日期 |
2014.11.11 |
申请号 |
US201213716237 |
申请日期 |
2012.12.17 |
申请人 |
Wistron Corporation |
发明人 |
Chen Chien-Hang |
分类号 |
G06K9/62;G06K9/00;G06F3/0488;G06F3/01 |
主分类号 |
G06K9/62 |
代理机构 |
McClure, Qualey & Rodack, LLP |
代理人 |
McClure, Qualey & Rodack, LLP |
主权项 |
1. A user emotion detection method, for a handwriting input electronic device, the method comprising:
obtaining at least one handwriting input characteristic parameter according to a user handwriting input wherein the handwriting input characteristic parameter at least comprises one or any combination of: a handwriting speed parameter, a handwriting pressure parameter and a handwriting modification number parameter; determining a user emotion parameter by an artificial neural network of the handwriting input electronic device according to the handwriting input characteristic value and at least one associated linkage value; displaying the user emotion parameter on a touch display panel of the handwriting input electronic device; receiving a user feedback parameter; and determining whether to adjust the at least one associated linkage value and if yes, adjusting the at least one associated linkage value according to the user feedback parameter to construct and adjust the artificial neural network. |
地址 |
New Taipei City TW |