Majdy M. Eltahir1, Adil Yousif2, Fadwa Alrowais3, Mohamed K. Nour4, Radwa Marzouk5, Hatim Dafaalla6, Asma Abbas Hassan Elnour6, Amira Sayed A. Aziz7, Manar Ahmed Hamza8,*
CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3239-3255, 2023, DOI:10.32604/cmc.2023.034037
Abstract The human motion data collected using wearables like smartwatches can be used for activity recognition and emergency event detection. This is especially applicable in the case of elderly or disabled people who live self-reliantly in their homes. These sensors produce a huge volume of physical activity data that necessitates real-time recognition, especially during emergencies. Falling is one of the most important problems confronted by older people and people with movement disabilities. Numerous previous techniques were introduced and a few used webcam to monitor the activity of elderly or disabled people. But, the costs incurred upon installation and operation are high,… More >