Challenges and issues in multisensor fusion approach for fall detection

G Koshmak, A Loutfi, M Linden - Journal of Sensors, 2016 - Wiley Online Library
Emergency situations associated with falls are a serious concern for an aging society. Yet
following the recent development within ICT, a significant number of solutions have been …

Development of a wearable‐sensor‐based fall detection system

F Wu, H Zhao, Y Zhao, H Zhong - International journal of …, 2015 - Wiley Online Library
Fall detection is a major challenge in the public healthcare domain, especially for the elderly
as the decline of their physical fitness, and timely and reliable surveillance is necessary to …

Proactive instruction fetch

M Ferdman, C Kaynak, B Falsafi - Proceedings of the 44th Annual IEEE …, 2011 - dl.acm.org
Fast access requirements preclude building L1 instruction caches large enough to capture
the working set of server workloads. Efforts exist to mitigate limited L1 instruction cache …

Deep temporal multimodal fusion for medical procedure monitoring using wearable sensors

EA Bernal, X Yang, Q Li, J Kumar… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Process monitoring and verification have a wide range of uses in the medical and
healthcare fields. Currently, such tasks are often carried out by a trained specialist, which …

A 160120-Pixels Range Camera With In-Pixel Correlated Double Sampling and Fixed-Pattern Noise Correction

M Perenzoni, N Massari, D Stoppa… - IEEE journal of solid …, 2011 - ieeexplore.ieee.org
This paper presents the design and electro-optical test of a 160× 120-pixels CMOS sensor
specifically conceived for Time-Of-Flight 3D imaging. The in-pixel processing allows the …

Development of a two-threshold-based fall detection algorithm for elderly health monitoring

S Abdelhedi, R Bourguiba, J Mouine… - 2016 IEEE Tenth …, 2016 - ieeexplore.ieee.org
Population aging has become a worldwide problem. Falls are considered as the first source
of disabilities among elderly people. Fall detection algorithms are the key to distinguish a fall …

3D measures exploitation for a monocular semi-supervised fall detection system

K Makantasis, E Protopapadakis, A Doulamis… - Multimedia Tools and …, 2016 - Springer
Falls have been reported as the leading cause of injury-related visits to emergency
departments and the primary etiology of accidental deaths in elderly. Thus, the development …

A deep learning-based cloud-edge healthcare system with time-of-flight cameras

SY Lee, TY Huang, CY Yen, IP Lee… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
This study proposes a comprehensive and vision-based long-term healthcare system that
includes time-of-flight (ToF) cameras at the front end, the Raspberry Pi at the edge point, and …

A novel video-surveillance-based algorithm of fall detection

B Dai, D Yang, L Ai, P Zhang - 2018 11th International …, 2018 - ieeexplore.ieee.org
With the development of the society and medical technologies, the average age of
population keeps increasing, health care. I has been a worldwide problem need to be …

[PDF][PDF] Fall detection FPGA-based systems: A survey

S Abdelhedi, R Bourguiba, J Mouine… - International Journal of …, 2016 - academia.edu
Accepted 26 May 2016; Published on line 1 December 2016)* Corresponding author:
abdelhedi. sahar@ gmail. com DOI: 10.5875/ausmt. v6i4. 1105 Abstract: Falls can lead to …