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.
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. 3. The user emotion detection method according to claim 1 , wherein the handwriting pressure parameter comprises one or any combination of: a handwriting start point pressure parameter, a handwriting end point pressure parameter and a handwriting average pressure parameter.