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A model based on an artificial neuron with a sigmoid activation function to estimate stand-to-sit thigh angle where, t is the input time segment of stand-to-sit transition, weight w determines the speed of transition, bias b determines the centre of transition, x is classifier 2 output where x = 0 for stand-to-sit and x = 1 for sit-to-stand transition, gain G scales the output of activation function between 0° and 90° and the thigh angle θT is the output.
