Author Bios:
- Munehiko Sato (His Personal Website)
- Ivan Poupyrev (His Personal Website)
- Chris Harrison (His Personal Website)
TL;DR (Summary):
This team has created a novel touch sensing technology, called Touché, that uses a capacitive touch sensor embedded into ordinary objects in order to read touches and gestures. They began the paper by talking about their new technology, called Swept Frequency Capacitive Sensing (SFCS), which uses a device to "monitor the response to capacitive human touch over a range of frequencies", instead of only monitoring a single frequency. The paper then goes on to describe the science behind the capacitive touch sensor and how it uses capacitive profiles based on the human body in order to detect touch input across a range of devices.
Related Works Not Referenced:
Evaluation:
This team used objective, quantitative measures to systemically evaluate their touch sensor by testing the sensor on a variety of objects, including door knobs, tables, the user, touch screens, and water, to show that the system as a whole works with gesture recognition accuracies above 95%. Using two groups of 12 people, the team tested multiple gestures multiple times on each object to ensure the accuracy of their gesture-recognition technology over a wide range of capacitances.
Discussion:
This paper was very interesting because the use of touch gestures is a growing field in CHI and this novel approach will bring technology one step closer to being able to integrate seamlessly into everyday life.
The use cheap and minimal hardware is what makes Touché a viable option for use in any home or office and this research will also further my goal of having a 'smart' house.
Next, the paper describes the different devices that the team tested the gesture-recognizing technology on. These devices include door knobs, a table, a touch device, the human body, and a shallow pool of water. They went on to describe their testing methods which included two groups of 12 people that tested each gesture 30 times each on every device to calculate the accuracy of the device.
After finding the accuracy of each device, the team removed gestures for some devices in order to reach an accuracy of at least 95% for each gesture on each device and concluded that the technology, with certain tweaks to find the optimal capacitance range, could be ready for use in practical applications.
- SideSight: multi-"touch" interaction around small devices - Uses multiple sensors to gain gesture abilities for small-screened touch devices. This paper is novel in the fact that it only uses one sensor and can be placed on a multitude of different objects.
- Principles and Applications of Multi-touch Interaction (2007) - Explains the benefits of multi-touch and orientation-sensing gestures on touch surfaces. Does not deal with multiple surfaces or objects like this paper does.
- Multi-touch Interaction - Talks about the uses of humans' natural hand dexterity in the realm of touch inputs. Does not extend to multiple surfaces or objects like this paper does.
- Multi-touch Interaction Wall - Talks about the need for multi-touch interfaces for multiple users. This paper talks about multi-touch interfaces designed with single users in mind.
- Shallow-depth 3d interaction: design and evaluation of one-, two- and three-touch techniques - Talks about multi-touch capabilities used to interact with a shallow-3D display. Does not extend beyond 2D touch screen input.
- Slide rule: making mobile touch screens accessible to blind people using multi-touch interaction techniques - Talks about a technique that would allow blind people greater access to multi-touch enabled devices. Does not apply to multiple objects like this paper does.
- Empirical evaluation for finger input properties in multi-touch interaction - Talks about a technique applied to 2D touch devices that takes into account the area of the screen that is being touched, rather than a single x,y point. This technique could be applied to the sensor described in this paper to increase the amount of gestures available or possibly the accuracy of certain gestures already proposed.
- Multi-touch interaction for robot control - Talks about using multi-touch gestures to control robots. This is beyond the scope of this paper, but the sensor defined in this paper could be applied to this research.
- Low-cost multi-touch sensing through frustrated total internal reflection - Talks about a low-cost multi-touch option using a new touch-sensing technique that allows for cheaper sensors than traditional multi-touch devices. Interesting read, but the research does not apply to this paper as it is still only used on a 2D surface.
- TouchLight: an imaging touch screen and display for gesture-based interaction - Talks about a way to enable multi-touch gestures on a projector-based screen. Interesting technique, but still only allows for 2D displays and not other objects.
Overall, the related works in this field are only related to multi-touch gestures on a 2-dimensional surface and do not extend into the realm of applying multi-touch capabilities to other objects.
Evaluation:
This team used objective, quantitative measures to systemically evaluate their touch sensor by testing the sensor on a variety of objects, including door knobs, tables, the user, touch screens, and water, to show that the system as a whole works with gesture recognition accuracies above 95%. Using two groups of 12 people, the team tested multiple gestures multiple times on each object to ensure the accuracy of their gesture-recognition technology over a wide range of capacitances.
Discussion:
This paper was very interesting because the use of touch gestures is a growing field in CHI and this novel approach will bring technology one step closer to being able to integrate seamlessly into everyday life.
The use cheap and minimal hardware is what makes Touché a viable option for use in any home or office and this research will also further my goal of having a 'smart' house.
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