Context These signals have been recorded with the purpose of implementing an algorithm that can recognize and analyse movement singularities of degenerative diseases, such as Alzheimer or Parkinson, and gait disorders in elderly people. The Inertial sensors (a triaxial accelerometer and a triaxial gyroscope) have been settled on the top of a right slipper placed in the lower limb have been employed. That allows to obtain a collection of data in order to track human motions in daily life with less intrusion. Content The signals are relative to ten volunteers that have simulated the following seven movements: -Freezing of gait (1) -Bradykinesia (2) -Sitting with tremor (3) -Ataxic gait (4) -Myopathic gait (5) -Muscle atrophy (6) -Not pathological gait (7) To each one of them is associated a label (i.e. the number into the bracket). The recording protocol establishes that for each subject, each movement is repeated 10 times and for each time the recording lasts 20 seconds. The signals have been captured with a sample frequency of 100 Hz.