Fall detection of the elderly is a major public health problem. Thus it has 
generated a wide range of applied research and prompted the development of 
telemonitoring systems to enable the early diagnosis of fall conditions. This 
article is a survey of systems, algorithms and sensors, for the automatic early 
detection of the fall of elderly persons. It points out the difficulty to 
compare the performances of the different systems due to the lack of a common 
framework. It then proposes a procedure for this evaluation.