Smart sensing systems for the detection of human motion disorders

P. Lorenzi, R. Rao, G. Romano, A. Kita, M. Serpa, F. Filesi, R. Parisi, A. Suppa, M. Bologna, A. Berardelli, F. Irrera

Research output: Contribution to journalArticlepeer-review


We propose a wearable wireless sensing system for the home monitoring of specific symptoms of the Parkinson's disease. The system is composed of inertial sensors, a station for the real time processing (smartphone/PC/tablet) and dedicated algorithms. The recognition algorithms use fusion of raw signals from accelerometers and gyroscopes. The system provides a robust and reliable detection of the involuntary freezing of gait, which is a common and dangerous symptom of the Parkinson's disease causing falls. The proposed system provides an early detection of the freezing of gate at its outset with excellent performance in terms of sensitivity and precision, and timely provides an audio feedback to the patient for releasing the involuntary block state.

Original languageEnglish
Pages (from-to)324-327
Number of pages4
JournalUnknown Journal
Publication statusPublished - 2015


  • Auditory feedback
  • Freezing of gait
  • Home monitoring of motion features
  • Parkinson's disease
  • Wearable wireless inertial sensors

ASJC Scopus subject areas

  • Engineering(all)


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