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SUMMARY:Pre-impact fall detection
DTSTART:20150217T110000
DTSTAMP:20260407T110440Z
UID:8b0051017c5aceb8d6659ba268e042e0dca1d1136710dd69992a58bf
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Vito Monaco\, Scuola Superiore Sant’Anna\nFall-related a
 ccidents are among the most serious problems in elderly people\, amputees 
 and subjects with neurological disorders. About one out of three adults ov
 er 65 years of age falls once a year leading to severe traumatic and psych
 ological consequences. Given the increased life expectancy of the worldwid
 e population\, the number of people who are more prone to fall is growing 
 and fall-prevention programs are rapidly becoming a key issue to health-ca
 re national systems\, not only to reduce costs\, but also to benefit socie
 ty as a whole. An effective pre-impact detection system is expected to bot
 h increase the sense of safety and reduce fall-related injuries ultimately
  improving users’ quality of life.\nThe talk will introduce novel soluti
 ons aimed at detecting unexpected and potentially dangerous postural trans
 itions\, which can result in a fall.\nAn NCCR Robotics event.\nBio: Dr. Vi
 to Monaco received the Master’s degree in Electrical Engineering from th
 e Politecnico di Bari\, Italy\, in 2003\, and the Ph.D. degree in “Bioro
 botics\, science and engineering” from the IMT Lucca\, Italy\, in 2008. 
 He is currently an Assistant Professor and Head of the Locomotion Biomecha
 nics Lab at The BioRobotics Institute of the Scuola Superiore Sant’Anna 
 (Pisa\, I).\nHis main scientific interests relate to the effects of ageing
  and neuro-musculo-skeletal disorders on walking and managing unexpected p
 erturbations leading to falls. In this respect\, Dr. Monaco is involved in
  several projects aimed at both identifying biomechanical parameters able 
 to early signal the lack of balance and enabling active strategies to prev
 ent a fall.
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202
STATUS:CONFIRMED
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