patients are still used today for seizure prediction. neurofeedback remains an important extension, and in its most advanced form is also attempted as the basis of brain computer interfaces. the eeg is also used quite extensively in the field of neuromarketing. the eeg is altered by drugs that affect brain functions, the chemicals that are the basis for psychopharmacology. berger's early experiments recorded the effects of drugs on eeg. the science of pharmaco-electroencephalography has developed methods to identify substances that systematically alter brain functions for therapeutic and recreational use. honda is attempting to develop a system to enable an operator to control its asimo robot using eeg, a technology it eventually hopes to incorporate into its automobiles. eegs have been used as evidence in criminal trials in the indian state of maharashtra. brain electrical oscillation signature profiling (beos), an eeg technique, was used in the trial of state of maharashtra v. sharma to show sharma remembered using arsenic to poison her ex-fiancé, although the reliability and scientific basis of beos is disputed. a lot of research is currently being carried out in order to make eeg devices smaller, more portable and easier to use. so called "wearable eeg" is based upon creating low power wireless collection electronics and 'dry' electrodes which do not require a conductive gel to be used. wearable eeg aims to provide small eeg devices which are present only on the head and which can record eeg for days, weeks, or months at a time, as ear-eeg. such prolonged and easy-to-use monitoring could make a step change in the diagnosis of chronic conditions such as epilepsy, and greatly improve the end-user acceptance of bci systems. research is also being carried out on identifying specific solutions to increase the battery lifetime of wearable eeg devices through the use of the data reduction approach. in research, currently eeg is often used in combination with machine learning. eeg data are pre-processed then passed on to machine learning algorithms. these algorithms are then trained to recognize different diseases like schizophrenia, epilepsy or dementia. furthermore, they are increasingly used to study seizure detection. by using machine learning, the data can be analyzed automatically. in the long run this research is intended to build algorithms that support physicians in their clinical practice and to provide further insights into diseases. in this vein, complexity measures of eeg data are often calculated, such as lempel-ziv complexity, fractal dimension, and spectral flatness. it has been shown that combining or multiplying such measures can reveal previously hidden information in eeg data. eeg signals from musical performers were used to create instant compositions and one cd by the brainwave music project, run at the computer music center at columbia university by brad garton and dave soldier. similarly, an hour-long recording of the brainwaves of ann druyan was included on the voyager golden record, launched on the voyager probes in 1977, in case any extraterrestrial intelligence could decode her thoughts, which included what it was like to fall in love.