Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Chin-Chuan Han"'
Publikováno v:
Sensors, Vol 24, Iss 6, p 1935 (2024)
Lower extremity exercises are considered a standard and necessary treatment for rehabilitation and a well-rounded fitness routine, which builds strength, flexibility, and balance. The efficacy of rehabilitation programs hinges on meticulous monitorin
Externí odkaz:
https://doaj.org/article/5ebab5fb9a19480c8dc52a3cbe5b1412
Publikováno v:
Sensors, Vol 23, Iss 12, p 5389 (2023)
This paper presents a healthcare information and medical resource management platform utilizing wearable devices, physiological sensors, and an indoor positioning system (IPS). This platform provides medical healthcare information management based on
Externí odkaz:
https://doaj.org/article/e376f9b8b6504febac16de8e01cef82b
Autor:
Yu-Chi Wu, Chin-Chuan Han, Chao-Shu Chang, Fu-Lin Chang, Shi-Feng Chen, Tsu-Yi Shieh, Hsian-Min Chen, Jin-Yuan Lin
Publikováno v:
Sensors, Vol 22, Iss 11, p 4263 (2022)
With conventional stethoscopes, the auscultation results may vary from one doctor to another due to a decline in his/her hearing ability with age or his/her different professional training, and the problematic cardiopulmonary sound cannot be recorded
Externí odkaz:
https://doaj.org/article/8bc188c746af4fd485a191a22b01ae6f
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1422 (2022)
Thanks to the rapid development of Wearable Fitness Trackers (WFTs) and Smartphone Pedometer Apps (SPAs), people are keeping an eye on their health through fitness and heart rate tracking; therefore, home weight training exercises have received a lot
Externí odkaz:
https://doaj.org/article/2de49f5aea564db7b90502f476e9dffa
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 130 (2021)
In this paper, a novel feature line embedding (FLE) algorithm based on support vector machine (SVM), referred to as SVMFLE, is proposed for dimension reduction (DR) and for improving the performance of the generative adversarial network (GAN) in hype
Externí odkaz:
https://doaj.org/article/bf0e3c50efe448ffa9b8faa51319415f
Publikováno v:
Remote Sensing, Vol 7, Iss 11, Pp 14292-14326 (2015)
In this paper, a general nearest feature line (NFL) embedding (NFLE) transformation called fuzzy-kernel NFLE (FKNFLE) is proposed for hyperspectral image (HSI) classification in which kernelization and fuzzification are simultaneously considered. Tho
Externí odkaz:
https://doaj.org/article/b6cb5cfddbed4d4f8dde56b261d7a296
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 12 (2015)
In this paper, an object detector is proposed based on a convolution/subsampling feature map and a two-level cascade classifier. First, a convolution/subsampling operation alleviates illumination, rotation and noise variances. Then, two classifiers a
Externí odkaz:
https://doaj.org/article/ac3654178385418b849dcb6ec062aedb
Face Recognition and Gender Classification Using Orthogonal Nearest Neighbour Feature Line Embedding
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
In this paper, a novel manifold learning algorithm for face recognition and gender classification – orthogonal nearest neighbour feature line embedding (ONNFLE) – is proposed. Three of the drawbacks of the nearest feature space embedding (NFSE) m
Externí odkaz:
https://doaj.org/article/c206d4260ce043edba0392eb7f8a494c
Publikováno v:
IEEE Transactions on Multimedia. 20:3187-3199
Investigating the identity, distribution, and evolution of bird species is important for both biodiversity assessment and environmental conservation. The discrete wavelet transform (DWT) has been widely exploited to extract time–frequency features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b73d8383c38bc654b530b123d7566ba
https://doi.org/10.1109/tmm.2018.2834866
https://doi.org/10.1109/tmm.2018.2834866
Publikováno v:
CANDAR
In this paper, a color image representation approach is proposed for color image retrieval. First, an input color image is represented by a number representative images (called color degree images) consisting of chromatic (including red, green, blue,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f467313d7d3455eca8a6a0a99649a04
https://doi.org/10.1109/candar.2019.00014
https://doi.org/10.1109/candar.2019.00014