1. A method to record handwriting activity, comprising: registering electromyography (EMG) signals from one or more muscles at selected locations proximate the hand during handwriting activity; wherein the EMG signals are full-wave rectified and band-pass filtered in the range of 0.2-20 HZ; correlating the EMG signals with hand movement activity; processing and storing said EMG signals in a memory for the purposes of handwriting recording; analyzing said EMG signals and providing an output in a digital format; and generating and providing an output of a correlation between the hand movements during handwriting and the EMG signals; wherein one or more EMG sensor electrodes are configured to be disposed on a user's hand; wherein the EMG sensors are dry sensors; wherein the EMG signals are sampled at a number of time lags with temporary time spacing between samples from several hand muscles and in different combinations; wherein a pattern recognition algorithm consisting of a mathematical algorithm is trained to reconstruct handwriting patterns from the EMG signals; wherein the mathematical algorithm is expressed by the equation V(t)=b+Σ r=m n w (τ) n ( t +τ) +ε( t ); wherein n ( t +τ) is a vector of input EMG signals at time t and time lag τ; V is the parameter of interest at time t; w(τ)is a vector of weights for each input at time lag τ; b is the y-intercept; ε( t ) is the residual error; wherein the equation is solved using linear least square regression; and wherein the algorithm is trained by adiusting the parameters of the equation until handwriting patterns are reconstructed from the EMG signals.