基於手勢之次世代加護病房人機互動技術

醫院提供了醫療保健，而加護病房(Intensive care unit)是一個專門提供全面且持續的醫療單位。一般加護病房中，護理人員要取得病患的生理狀態資料，必須到護理站取得資料，這樣並不方便。如能將加護病房資訊顯示設備將安裝在病房旁，提供即時的資訊給予醫護人員。以提升醫護人員的決策的效率，使得醫護人員能夠得到立即的資訊。然而為了避免使用接觸式的控制造成的感染，本研究提出一套基於手勢的人機介面用於加護病房中。本研究使用Kinect深度攝影機當作輸入設備。系統將偵測是單手模式或是雙手模式，並透過建立背景模型針對場景中的環境資訊進行析。本研究，以基本的手勢進行開發，以達到瀏覽網頁、照片等資訊。在實驗結果中，我們成功達成的網頁基本的操作功能。未來計畫加入更多的手勢與使用者辨識，提供病患、家屬等人不同的功能，打造出次世代加護病房，提供更完善的照護。

關鍵字

Kinect ；人機介面；手勢；使用者介面

並列摘要

Hospital is one of the healthcare providers and intensive-care unit (ICU) is a specialized section of a hospital that provides comprehensive and continuous care. In ICU, it is not convenient that paramedics must walk to nursing station to retrieve the patient's health state from hospital database. If there is a display around a hospital bed which can show the patient's information, paramedics can instantly exam and browse the instant information. To avoid hand contacts controller that may result in infection. This study proposed a hand gesture-based human-computer interaction for the display in ICU which uses the Kinect range camera as input device. By building the background model and analyzing the scene information, the developed system will detect one-hand mode and two-hand mode before the hand gestures are recognized. We develop some basic gestures and users can use them to browse web pages, photos and other information. Experimental results show that basic browsing capabilities for ordinary web pages can be achieved by the developed hand gesture recognition system. In the future, we plan to add more hand gestures to provide patient and patients' family with different functions e.g. user identification for next-generation ICU.

並列關鍵字

Kinect ； Human-computer Interaction ； Hand gestures ； User interface

參考文獻

[1] S. Mitra, “Gesture recognition a survey,” IEEE Transactions on Systems, Man, and Cybernetics (SMC) – Part C , vol. 37, no. 3, pp. 311-324, 2007.

[2] R. Dongwan and P. Junseok, “Design of an armband type contact-free Space Input Device for Human-Machine Interface,” IEEE International Conference on communications, pp. 841-842

[3] P. Kumar, S. S. Rautaray, and A. Agrawal, “Hand data glove: a new generation real-time mouse for human-computer interaction,” IEEE International Conference on Recent Advances in Information Technology, pp. 750-755, 2012.

[4] A. Ibarguren, I. Maurtua, and B. Sierra, “Layered architecture for real time sign recognition: hand gesture and movement,” Engineering Applications of Artificial Intelligence, vol. 23(7), pp. 1216-1228, 2010.

[6] Y. Fang, K. Wang, J. Cheng, and H. Lu, “A real-time hand gesture recognition method,” IEEE International Conference Multimedia and Expo, pp.995-998, 2007.

國際替代計量

基於手勢之次世代加護病房人機互動技術

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