Systems & Methods for Authentication Using Physical Sensors on Smart Devices
Smart devices such as smartphones and tablets require tools to protect data and other information residing in them. Such devices are now commonly used by individuals, hence the need to come up with methods to protect data is even greater. In most cases, an individual is required to enter a password or account information as a way to authenticate himself/herself to the device as an authorized user. However, smart devices are getting smaller in dimension, swipe pattern and touch pads are no longer available on these smaller smart devices. The AirSignature framework provides appropriate security level with the use of Inertia Measurement Units namely accelerometer and gyroscope. This form of authentication has 6 degree of freedoms and is similar to existing written signatures used in credit card transactions and formal documents.
Aesthetic QR Codes
We need more eye-catching designs!
We see QR Code on bus, MRT, shopping malls... BUT... How often are you attracted to scan them? QR code are widely used marketing tools in advertisements, brochures, posters, vouchers and many others. They are designed for effective decoding by computing devices, and thus visually resemble random images that do not make sense to the naked eye.
ARShop (Augmented Reality for Shops)
An Augmented Reality System for Shopping
ARShop is a one-stop solution to enhance the shopping experience for users using the augmented reality (AR) technology. It provides mall and shop owners cloud-based tools to digitize their malls and shops. Owners can annotate items on their uploaded photos and further record linkage between photos and annotations. Besides, ARShop provides shoppers a mobile application to search for items in their shopping lists by taking photos of their surrounding environment. Annotations of the user-interested items are popped up on the photos using the geography information and AR technology.
freeWalker is a wireless, smart insole that can measure pressure distribution, acceleration and motion sequences. The smartness of this insole comes from the fact that it allows the user to continuously analyse his locomotion remotely at a low cost. It can be used for various applications, ranging from medical diagnosis (diagnosis of pathological gait), rehabilitation (fall detection), sports and entertainment.
This work combines photography knowledge learned from social media with the camera sensors data to provide real-time photography assistance. Professional photographers use their knowledge and exploit the current context to take high quality photographs. However, it is often challenging for an amateur user to do that. Social media and physical sensors provide us an opportunity to improve the photo-taking experience for such users. We have developed a photography model based on machine learning which is augmented with contextual information such as time, geo-location, environmental conditions and type of image, that influence the quality of photo capture. The sensors available in a camera system are utilized to infer the current scene context. As scene composition and camera parameters play a vital role in the aesthetics of a captured image, our method addresses the problem of learning photographic composition and camera parameters. We also propose the idea of computing the photographic composition bases, eigenrules and baserules, to illustrate the proposed composition learning. Thus, the proposed system can be used to provide real-time feedback to the user regarding scene composition and camera parameters while the scene is being captured.