加強人臉識別安全 中大研光線反射分析技術

生物特徵保安技術日漸廣泛應用於手機和網絡保安,但不法之徒可偽造指紋、聲音等特徵欺騙系統。中大工程學院研發新技術,利用手機屏幕隨機發放不同光線顏色,再分析反射數據以驗證身份。團隊稱,新技術毋須特定硬件,而且可提升保安程度。

Date: 
Friday, July 20, 2018
Media: 
AM730

加強保安 中大新臉部識別技術 三秒篩走偽冒影像

人臉識別技術應用日漸廣泛,如手機解鎖、流動支付,甚至在商店購物能自動結帳,但若有不法份子利用高仿相片、錄像或面具等欺騙系統,隨時導致經濟損失。中大工程學院研發出Face Flashing人臉識別檢測方案,可大大提高保安程度。

中大信息工程學系助理教授張克環領導的系統保安研究實驗室團隊,研發出Face Flashing實時檢測方案,毋須加裝任何額外硬件。

Date: 
Friday, July 20, 2018
Media: 
Headline Daily

鑽研網絡安全 尋「能人所不能」樂趣 兩黑客賽稱冠 中大生盼做白帽黑客

「模型車本來只可以向前向後行,但我們『黑』進去取得系統管理權,就可以控制它轉彎。」中大學生黑客團隊「g33z」隊長曾奕輝說,做到別人做不到的事正是當黑客的樂趣。最近,他與團隊憑這些技巧獲得兩個黑客比賽的冠軍,贏得獎金、聘書及經驗。他有興趣網絡安全研究,當「白帽黑客」。

Date: 
Friday, July 13, 2018
Media: 
Ming Pao Daily News

大專黑客競賽 中大連環奪冠

由4名中大工程學院及理學院學生湯湛飛、梁成悅、陳兆俊和曾奕輝組成的黑客隊伍「g33z」,近日在兩個大專黑客比賽連環奪冠,包括四大會計師事務所之一羅兵咸永道(PwC),以及本地組織VXCON舉辦的全港大學校際黑客競賽;當中PwC賽事更是第二年蟬聯冠軍。中大指PwC賽事今年難度提升,包括要以黑客程式入侵電動機械車及電燈操作,但g33z在連續6小時賽事中破解最多挑戰。VXCON賽事中亦要30小時無間斷解決密碼學等難題。

Date: 
Friday, July 13, 2018
Media: 
Sky Post

香港可通過粵港澳大灣區為國家人工智慧發展作貢獻

人工智慧發展一直備受關注。香港中文大學工程學院副院長(外務)兼創新科技中心主任黃錦輝表示,香港利用好自身優勢,能通過粵港澳大灣區在國家人工智慧發展上作貢獻。
中國人工智慧學會智庫專家名單于5月公佈,黃錦輝入選為“自然語言處理與理解”組別的專家。他是名單上唯一香港土生土長的學者,將與內地和海外院士、資深研究員和全球知名學者交流,為中國人工智慧的長遠發展出謀獻策。
Date: 
Saturday, June 30, 2018
Media: 
Xin Hua News

手機App測兒童發音障礙

見到花花叫爸爸、見到爸爸嗌打打,兩歲仍對「爸媽」發音不準,家長自然擔心寶寶究竟是發育未夠還是「黐脷筋」?若懷疑有發音障礙,小朋友一般要到母嬰健康院進行評估,但中文大學研發出簡易自測方法,製作出香港首套廣東話兒童發音快速評估工具,更簡化成手機應用程式,只要對準手機發音即可篩查出是否有發音障礙,若有問題,可及早求醫。

Date: 
Monday, July 9, 2018
Media: 
Oriental Daily News

中大研發手機程式 篩查幼童發音障礙

幼童說話時口齒不清,把「花」讀作「巴」,「多」、「哥」分不清,或涉發音障礙。中文大學醫學院、工程學院合作研發全港首個識別兒童廣東話發音的手機程式,他們收集約二千名幼童的讀字語音,建立的智慧語音識別系統,可分析使用者朗讀字詞的發音,是否達其年齡標準,篩查出或有語言發展遲緩的三至六歲幼童。系統準確度已高達七成,仍在最後研發階段,盼明年可試用。

Date: 
Monday, July 9, 2018
Media: 
Sing Tao Daily

中大研發2000 幼園生助建資料庫 兒童對App 讀字發音障礙即評估

兒童常會口齒不清、發音錯誤,常見的情况如把「水」讀成「隊」,家長未必能判別是否屬發展遲緩。中文大學工程學院與醫學院於2015 年起合作,研發兒童發音障礙篩查工具手機應用程式,期望用手機App 可以量度兒童發音準確度及是否有語言障礙。程式尚未正式推出,研發團隊預計明年將工具帶到幼稚園試驗。

Date: 
Monday, July 9, 2018
Media: 
Ming Pao Daily News

Biomedical Engineering and Surgery Teams Develop a New 3D-printed Soft Robotic Hand for Supporting Rehabilitation after Stroke

Date: 
2018-07-06
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Stroke is one of the main causes of disability in the world. Stroke cases happen approximately every 40 seconds. In view of the aging population, the rehabilitation of stroke patients receives a high level of attention in society. A research team led by Prof. Raymond Kai-Yu Tong, Professor and Chairman in the Department of Biomedical Engineering, and Prof. Zheng Li, Assistant Professor in the Department of has developed the 3D-printed soft robotic hand (soft robotic hand) by making use of the latest silicone printing technology. This provides stroke patients a tailor-made, less bulky but comfortable and affordable soft robotic hand for the rehabilitation process and so supports rehabilitation of the hand function. 

Latest silicone 3D-printing technology takes over from bulky traditional rehabilitation devices 

Because of their bulkiness, the traditional rehabilitation mechanical devices for stroke patients are usually found in hospitals. As patients cannot use the devices at home every day, they give a low level of support to them in their daily lives which affects the effectiveness of recovery. Therefore, Prof. Raymond Kai-Yu Tong and his research team developed the ‘Hand of Hope’, a mechanical robotic hand rehabilitation system, a few years ago, which provides training and supports rehabilitation of hand function after stroke. The ‘Hand of Hope’ was also the first Hong Kong-based hand rehabilitation system to receive the Grand Prix Award at the 40th International Exhibition of Inventions of Geneva in 2012, and currently hospitals in over 15 countries are using it to help rehabilitation of stroke patients after obtaining the US Food and Drug Administration (FDA)’s approval and the Conformité Européene (CE) mark. 

Based on the success of the ‘Hand of Hope’, together with the rapid development of soft robots and silicone 3D-printing technology, the research team has spent nearly two years developing the new soft robotic hand. Compared with the traditional mechanical rehabilitation devices, the silicone actuator  controlling the activities of the fingers of the soft robotic hand is much smaller and lighter and patients can bring the soft robotic hand home to support daily activities. It can be tailor-made for patients, from children to adults, according to the size of their fingers and palms. The soft robotic hand can detect signals from the brain to the muscles, which supports patients in learning hand functions again and in performing complex gestures. This will enable occupational therapists to train patients in different daily tasks. In terms of the price, the cost of the silicone actuator is around one-tenth of the traditional rigid motor, meaning that is affordable to more patients. 

Prof. Raymond Kai-Yu Tong said, “As the ‘Hand of Hope’ made use of the traditional rigid motors, it was hard to further trim down its size and weight. The soft robotic hand is not only lighter and smaller, but we can tailor-make it for every stroke patient according to the hand size. So, some rarely found stroke patients, such as children, can now participate in the rehabilitation training sessions. We have provided training sessions to a stroke child, and we have found significant improvement on his hand function. In the future, we wish to deliver a soft robotic hand to every stroke patient so that they can start the training, even at home, rather than spending lots of time travelling to hospitals for training every day.” 

The soft robotic hand is pneumatically actuated to control patients’ ability in hand opening and closing. To deal with the spasticity presented in stroke patients’ compromised fingers, the research team has modified the design of the silicone actuator to facilitate effective finger flexion and extension, which is important for patients in performing more complex gestures. To enhance the quality of the silicone actuator, the researchers run a simulation to analyse the actuator characteristic before sending the actuator out for 3D-printing. While choosing the suitable 3D-printing service provider, the research team mainly focuses on the durability of the 3D-printed components, e.g. whether rupture would occur on the silicone actuator after a lengthy period of flexion and extension actuation. 

On-going clinical trial to validate the effect of rehabilitation on stroke patients 

When using the soft robotic hand, electrodes will be attached to the hemiplegic side of patients for recording the tiny electric current generated during muscle activity. The tiny electric current from the brain can be treated as an indicator of hand movement. When patients are trying to open the hand, muscle activity will be recorded through the attached electrodes and the soft robotic hand will open patients’ hands following their intention. This enables the patients to learn the correct way again using the brain to control their hand functions. 

This article was originally published on CUHK Communications and Public Relations Office website.

 

A research team led by Prof. Raymond Kai-Yu Tong from CUHK has developed the 3D-printed soft robotic hand (soft robotic hand) by making use of the latest silicone printing technology. This provides stroke patients a tailor-made, less bulky but comfortable and affordable soft robotic hand for the rehabilitation process and so supports rehabilitation of the hand function.

Ms. Chan, a stroke patient, demonstrates using the soft robotic hand for rehabilitation training.

 

Filter: Dept: 
Faculty
BME
Name: 
DUAN Liting
Title ( post ): 
Associate Professor
Department: 
Biomedical Engineering
phone: 
3943 8268
website: 
http://www.bme.cuhk.edu.hk/ltDuan/
Area of expertise: 
Optogenetic methods utilize light to control cell activities remotely, spatially and temporally.
Avatar: 
Class: 
faculty_member
Chinese Name: 
段麗婷
glossary_index: 
D

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