Early fall detection imposes a challenge for preventing life-threatening conditions to the health in geriatrics. As per the World Health Organization, around that half of total elderly individuals fall every year, which is considered a major cause of death. Fall-down detection and prediction is an...
Fall is one of the major cause of deaths in elderly along with other chronic diseases in all over the world. Therefore, it is important to find a cost effective, non-intrusive and lightweight solution for early fall detection and prevention in elderly. Several fall detection systems have been...
Fall detection is a technology that uses machine perception and video analytics. It triggers alerts to authorized personnel so that they can take immediate actions.
Falls have been one of the main threats to people's health, especially for the elderly. Detecting falls in time can prevent the long lying time, which is extremely fatal. This paper intends to show the efficacy of detecting falls using a wearable accelerometer. In the past decade, the fall...
Over recent years, elderly and vulnerable people have used personal pendant alarms, which require them to press a button to alert someone when they have fallen over. But these devices have several limitations. For a start, individuals must choose to put them on, and then leave them on ...
In this paper proposed fall detection system is designed for elderly person monitoring that is based on various sensors and operating through indoor and outdoor tracking using embedded system. With thresholds, accidental falls can be detected in the tracking healthcare section positions. The readings ...
detection namely Optical Flow (OF) [26] and Motion History Image (MHI) [17]. In the proposed method, we are using OF for the motion estimation. With the help of OF [26] and VGG16 [25] we have proposed a method for elderly patient monitoring system using live camera to detect a ...
pythonraspberry-piiotaccelerometerfinal-year-projectfall-detectionelderly-people UpdatedJul 23, 2024 Python The smartwatch made based on ESP32-C3(RISC-V MCU), which has heart rate, oximetry, temperature, fall detection and IOT Function. 基于 ESP32-C3的智能手表(RISC-V MCU),具有心率、血氧饱和度...
With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of heterogeneous sources or modalities are available to proactively monitor the health of the elderly. Due to the increasing risks of falls among older adult
Aguilar, P.A.C.et al.(2011). Heterogeneous Multi-sensor Fusion Based on an Evidential Network for Fall Detection. In: Abdulrazak, B., Giroux, S., Bouchard, B., Pigot, H., Mokhtari, M. (eds) Toward Useful Services for Elderly and People with Disabilities. ICOST 2011. Lecture Notes ...