Falls are a foremost source of injuries and hospitalization for seniors. The adoption of automatic fall detection mechanisms can noticeably reduce the response time of the medical staff or caregivers when a fall takes place. Smartphones are being increasingly proposed as wearable, cost-effective and ...
Since fall is happening with increasing frequency, it has been a major public health problem in an aging society. There are considerable demands to distinguish fall down events of seniors with the ch...
simply press the buttonon youremergency fall detectorto be connected immediately to an operator who can provide help. With the emergency supportourfall detection devicesprovide, you have the peace-of-mind knowing that you are cared for 24/7. Plus, your family and caregivers get the assurance th...
Wearable Fall Detection Systems (FDSs) have gained much research interest during last decade. In this regard, Machine Learning (ML) classifiers have shown great efficiency in discriminating falls and conventional movements or Activities of Daily Living (
The prevention of falls in older adults is an issue that can only be solved with regular exercises, sometimes with the supervision of therapists. This paper presents a game framework that uses devices such as the Wii Balance Board (WBB) to replicate fall
Senior fall efficacy: A comparison of independent community dwelling seniors versus group dwelling seniorsIntroduction: Many seniors are challenged by physiological and psychological risk factors associated with falling. Because of the interactive nature of these risk factors, fall related injuries are a ...
Falls are a foremost source of injuries and hospitalization for seniors. The adoption of automatic fall detection mechanisms can noticeably reduce the response time of the medical staff or caregivers when a fall takes place. Smartphones are being increasingly proposed as wearable, cost-effective and ...
The impact on privacy, the cost, low performance, or the need to wear uncomfortable devices are the main causes for the lack of widespread solutions for fall detection and prevention. This work present a solution focused on bedtime that addresses all these causes. Bed exit is one of the ...
Section 5 discusses the proposed intelligent following and fall detection system, focusing on the analysis of experimental results, improvements to OpenPose, and a comparison between this system and Teachable Machine. Finally, Section 6 provides the conclusion and intentions for future work, summarizing ...
collect personal motion and activity data may raise privacy concerns, especially when the data is shared with third parties. Moreover, seniors may exhibit reluctance towards employing wearable devices or technologies that are unfamiliar to them, potentially undermining the efficacy of fall detection ...