عنوان	Auto detection and segmentation of physical activities during a Timed-Up-and-Go (TUG) task in healthy older adults using multiple inertial sensors
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Automatic detection, daily activities, Timed-Up-and-Go (TUG), Inertial sensor, Elderly
چکیده	Recently, much attention has been given to the use of inertial sensors for remote monitoring of individuals with limited mobility. However, the focus has been mostly on the detection of symptoms, not specific activities. The objective of the present study was to develop an automated recognition and segmentation algorithm based on inertial sensor data to identify common gross motor patterns during activity of daily living.
پژوهشگران	فریبرز رحیمی (نفر پنجم)، Christian Duval (نفر ششم به بعد)، Patrick Boissy (نفر ششم به بعد)، Mandar Jog (نفر ششم به بعد)، Hung P. Nguyen (نفر اول)، Fouaz Ayachi (نفر دوم)، Catherine Lavigne–Pelletier (نفر سوم)، Margaux Blamoutier (نفر چهارم)