1. A method for posture identification, comprising the steps of: receiving, using a control device, sensor data formed of a plurality of sensor signals correlated with a user posture of a user from a plurality of sensors; determining, using the control device, at least one candidate posture from a set of at least one posture model based on the sensor data; and determining, using the control device, the user posture from the at least one candidate posture through a decision-making process, wherein the receiving step comprises the steps of: determining at least one sampling frequency of the sensor signals; obtaining the sensor signals according to the at least one sampling frequency; and adjusting the at least one sampling frequency of the sensor signals based on an evaluation result of the sensor signals; and wherein the step of determining, using the control device, the at least one candidate posture comprises the steps of: calculating characteristic values comprising a kurtosis estimate and a skewness estimate of a probability distribution from the plurality of sensor signals; and determining the at least one candidate posture by applying the characteristic values to each posture model in the set of at least one posture model.