Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Sozo Inoue"'
Autor:
Christina Garcia, Sozo Inoue
Publikováno v:
Sensors, Vol 24, Iss 2, p 319 (2024)
In this study, we propose an augmentation method for machine learning based on relabeling data in caregiving and nursing staff indoor localization with Bluetooth Low Energy (BLE) technology. Indoor localization is used to monitor staff-to-patient ass
Externí odkaz:
https://doaj.org/article/aa454d7b9cbf44b08e5c6796b30d9e2a
Autor:
Malikhah, Riyanarto Sarno, Sozo Inoue, M. Syauqi Hanif Ardani, Doni Putra Purbawa, Shoffi Izza Sabilla, Kelly Rossa Sungkono, Chastine Fatichah, Dwi Sunaryono, Arief Bakhtiar, Libriansyah, Cita R. S. Prakoeswa, Damayanti Tinduh, Yetti Hernaningsih
Publikováno v:
IEEE Access, Vol 10, Pp 51285-51298 (2022)
Several methods have been used to detect infectious respiratory diseases, for example, by taking samples from blood, saliva, and phlegm. Although these methods generated high accuracy, they raised more problems that increased the risk of spreading an
Externí odkaz:
https://doaj.org/article/d8cb05a713d045fd8c06eeb8fdd5b487
Autor:
Muhammad Fikry, Sozo Inoue
Publikováno v:
Sensors, Vol 23, Iss 14, p 6510 (2023)
In this paper, we propose the notification optimization method by providing multiple alternative times as a reminder for a forecasted activity with and without probabilistic considerations for the activity that needs to be completed and needs notific
Externí odkaz:
https://doaj.org/article/b961a79be6e74e6cb1942d5cc38f23c2
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7354 (2021)
Parkinson’s disease (PD) patients experience varying symptoms related to their illness. Therefore, each patient needs a tailored treatment program from their doctors. One approach is the use of anti-PD medicines. However, a “wearing-off” phenom
Externí odkaz:
https://doaj.org/article/840c8987d3254ca0938be354ee67b85d
Publikováno v:
Sensors, Vol 21, Iss 1, p 41 (2020)
One of the biggest challenges of activity data collection is the need to rely on users and keep them engaged to continually provide labels. Recent breakthroughs in mobile platforms have proven effective in bringing deep neural networks powered intell
Externí odkaz:
https://doaj.org/article/86c682fa4f934255a55ef7bb30fee56d
Publikováno v:
Sensors, Vol 20, Iss 14, p 3811 (2020)
Sensor-based human activity recognition has various applications in the arena of healthcare, elderly smart-home, sports, etc. There are numerous works in this field—to recognize various human activities from sensor data. However, those works are ba
Externí odkaz:
https://doaj.org/article/d471bfbbc2cb426fa2f93b1d4e6929d3
Autor:
Md Atiqur Rahman Ahad, Thanh Trung Ngo, Anindya Das Antar, Masud Ahmed, Tahera Hossain, Daigo Muramatsu, Yasushi Makihara, Sozo Inoue, Yasushi Yagi
Publikováno v:
Sensors, Vol 20, Iss 8, p 2424 (2020)
Wearable sensor-based systems and devices have been expanded in different application domains, especially in the healthcare arena. Automatic age and gender estimation has several important applications. Gait has been demonstrated as a profound motion
Externí odkaz:
https://doaj.org/article/839cd3a02d02403e8ad47917d91fd538
Publikováno v:
Sensors, Vol 19, Iss 22, p 5043 (2019)
In this paper, we address Zero-shot learning for sensor activity recognition using word embeddings. The goal of Zero-shot learning is to estimate an unknown activity class (i.e., an activity that does not exist in a given training dataset) by learnin
Externí odkaz:
https://doaj.org/article/0e9f68aa533c48fa88b9e91c2eab5221
Publikováno v:
Sensors, Vol 19, Iss 17, p 3736 (2019)
Integrating speech recondition technology into an electronic health record (EHR) has been studied in recent years. However, the full adoption of the system still faces challenges such as handling speech errors, transforming raw data into an understan
Externí odkaz:
https://doaj.org/article/a108f9bdd6354ac093423115a42db092
Publikováno v:
Sensors, Vol 19, Iss 15, p 3434 (2019)
Labeling activity data is a central part of the design and evaluation of human activity recognition systems. The performance of the systems greatly depends on the quantity and “quality” of annotations; therefore, it is inevitable to rely on users
Externí odkaz:
https://doaj.org/article/735272b5815a4f77842c14118d0db47c