Applying Creative Computing in the Analysis of Smart Tourism Research in China

Peng, Yanfei; Peng, Jianjun; Li, Jiping; Yao, Chunlong; Shi, Xiaotao

doi:10.23940/ijpe.19.01.p26.261269

Cited by 2 publications

(3 citation statements)

References 15 publications

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“…According to formula (7), the spatial position of the middle finger can be determined, as long as the following three parameters are known: the contact point D of the massaged part, the inclination angle α of the middle finger relative to the massaged part, and the rotation angle β of the middle finger. Then, the spatial position of every angle on the middle finger can be derived by the plane quadrilateral model [23] and the law of cosines.…”

Section: Figure 2 Coordinates Of Fingertipmentioning

confidence: 99%

“…The advancement of science and technology has promoted the application of artificial intelligence, and brought progress in human pose and gesture recognition, turning it into a novel way of somatosensory human-computer interaction [1][2][3][4]. In recent years, the technology of human pose and gesture recognition is widely applied in many fields, such as artificial intelligence [5], electronic games [6], smart home [7], sports training [8], teaching and training [9,10], traffic guidance [11,12], to name a few.…”

Section: Introductionmentioning

confidence: 99%

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Gesture Recognition of Somatosensory Interactive Acupoint Massage Based on Image Feature Deep Learning Model

Jia¹,

Ding²,

Ren³

et al. 2021

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During rehabilitation, many postoperative patients need to perform autonomous massage on time and on demand. Thus, this paper develops an individualized, intelligent, and independent rehabilitation training system for based on image feature deep learning model acupoint massage that excludes human factors. The system, which innovatively integrates massage gesture recognition with human pose recognition. It relies on the binocular depth camera Kinect DK and Google MediaPipe Holistic pipeline to collect the real-time image feature data on joints and gestures of the patient in autonomous massage. Then the system calculates the coordinates of each finger joint, and computes the human poses with VGG-16, a convolutional neural network (CNN); the calculated results are translated, and presented in a virtual reality (VR) model based on Unity 3D, aiming to guide the patient actions in autonomous massage. This is because the image feature of the gesture recognition and pose recognition is hindered, when the hand or the human is occluded by the body or other things, owing to the limited recognition range of the hardware. The experimental results show that, the proposed system could correctly recognize up to 84% of non-occluded gestures, and up to 93% of non-occluded poses; the system also exhibited a good real-time performance, a high operability, and a low cost. Facing the lack of medical staff, our system can effectively improve the life quality of patients.

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Section: Figure 2 Coordinates Of Fingertipmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Gesture Recognition of Somatosensory Interactive Acupoint Massage Based on Image Feature Deep Learning Model

Jia¹,

Ding²,

Ren³

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The State Council's Government Work Report 2021 states, "Developing a healthy and healthy economy." The report proposes to "develop the consumption of health, culture, tourism, sports, and other services [10][11][12]. Utilize 'Internet+,' promote wider and deeper integration of online and offline, develop new business forms and new models, and provide consumers with more convenient and comfortable services and products" [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

An Exploration of Customer Experience Design Innovation in Tourism and Hospitality Industry Driven by Emerging Technologies

Liu

2024

Applied Mathematics and Nonlinear Sciences

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With the rapid development of tourism hotels, there are many problems, such as uneven design quality and poor user experience. In response to the above issues, this paper proposes a digital design for tourism hotels that integrates VR technology. Using the network crawling technology in the network LDA model, the text data on customer experience design in the tourism hotel industry is obtained, and in order to avoid the problem of duplicate values and null values in the data, data processing is carried out to ensure the precision of the research results. Based on the principle of evaluation system construction, we determine the evaluation index system for tourism hotel customer experience design that allows the integration of VR technology and constructs the LDA-AHP model for hotel customer experience design. Based on the acquired research data, the customer experience design of the tourism hotel industry is analyzed by examples. The results indicate that the comprehensive evaluation score for tourism hotel user experience based on the LDA-AHP model is 3.3075, which suggests that the design of tourism hotel user experience based on the LDA-AHP model is at the 3-crown level. This study provides theoretical references for the design of tourist hotel customer experiences, which can help the tourist hotel industry improve and develop rapidly.

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Applying Creative Computing in the Analysis of Smart Tourism Research in China

Cited by 2 publications

References 15 publications

Gesture Recognition of Somatosensory Interactive Acupoint Massage Based on Image Feature Deep Learning Model

Gesture Recognition of Somatosensory Interactive Acupoint Massage Based on Image Feature Deep Learning Model

An Exploration of Customer Experience Design Innovation in Tourism and Hospitality Industry Driven by Emerging Technologies

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