Rebate
发表于 2025-3-25 04:17:47
http://reply.papertrans.cn/23/2235/223434/223434_21.png
THROB
发表于 2025-3-25 10:32:46
http://reply.papertrans.cn/23/2235/223434/223434_22.png
agonist
发表于 2025-3-25 14:49:58
http://reply.papertrans.cn/23/2235/223434/223434_23.png
热心
发表于 2025-3-25 17:45:28
https://doi.org/10.1007/978-3-8350-9117-7t role, because fall is the main obstacle for elderly people to live independently and it is also a major health concern due to aging population. The three basic approaches used to develop fall detection systems include some sort of wearable, ambient or non-invasive based devices. Most of such syste
insincerity
发表于 2025-3-25 21:09:47
Challenges and Trends in Multimodal Fall Detection for Healthcare978-3-030-38748-8Series ISSN 2198-4182 Series E-ISSN 2198-4190
小木槌
发表于 2025-3-26 01:22:28
https://doi.org/10.1007/978-3-030-38748-8Fall Detection; Fall Classification; Human Fall Detection; Fall Detection data Set; Intelligent Real-Tim
Muscularis
发表于 2025-3-26 07:44:47
978-3-030-38750-1Springer Nature Switzerland AG 2020
说笑
发表于 2025-3-26 09:12:26
D. B. Hoyt,W. G. Junger,A. N. Ozkans located at the ankle, right pocket, belt, and neck of the subject. We utilize a grid search technique to evaluate variations of the Bi-LSTM model and identify a configuration that presents the best results. The best Bi-LSTM model achieved good results for precision and f1-score, 43.30 and 38.50%, respectively.
SLAY
发表于 2025-3-26 14:24:23
Psycho- und soziosomatische Konzeptedentifying falls obtained results that surpassed the other models submitted to the test. They were successful in extracting various information from a highly sophisticated and incredibly dimensional dataset to help professionals from various areas expand their investigations in the field of falling people.
Accrue
发表于 2025-3-26 16:52:10
Detecting Human Activities Based on a Multimodal Sensor Data Set Using a Bidirectional Long Short-Tes located at the ankle, right pocket, belt, and neck of the subject. We utilize a grid search technique to evaluate variations of the Bi-LSTM model and identify a configuration that presents the best results. The best Bi-LSTM model achieved good results for precision and f1-score, 43.30 and 38.50%, respectively.