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Devices with significant computational power and capabilities can now be easily carried on our bodies. However, their small size typically leads to limited interaction space e. Since one cannot simply make buttons and screens larger without losing the primary benefit of small size, one has to consider alternative approaches that enhance interactions with small mobile systems.

One option is to opportunistically appropriate surface area from the environment for interactive purposes. For example, there is a technique that allows a small mobile device to turn tables on which it rests into a gestural finger input canvas. However, tables are not always present, and in a mobile context, users are unlikely to want to carry appropriated surfaces with them at this point, one might as well just have a larger device.

However, there is one surface that has been previously overlooked as an input canvas and one that happens to always travel with us: our skin. Appropriating the human body as an input device is appealing not only because we have roughly two square meters of external surface area, but also because much of it is easily accessible by our hands e.

Furthermore, proprioception —the sense of how our body is configured in three-dimensional space — allows us to accurately interact with our bodies in an eyes-free manner. For example, one can readily flick each of the fingers, touch the tip of the nose, and clap hands together without visual assistance.

Few external input devices can claim this accurate, eyes-free input characteristic and provide such a large interaction area. In this paper, a method that allows the body to be appropriated for finger input using a novel, non-invasive, wearable bio-acoustic sensor is presented; namely Skinput.

The contributions of this paper are:. To expand the range of sensing modalities for always available input systems, a novel input technique that allows the skin to be used as a finger input surface is described in this paper and is named as Skinput. In this prototype system, the focus is on the arm although the technique could be applied elsewhere.

This is an attractive area to appropriate as it provides considerable surface area for interaction, including a contiguous and flat area for projection discussed subsequently. Furthermore, the forearm and hands contain a complex assemblage of bones that increases acoustic distinctiveness of different locations.

To capture this acoustic information a wearable armband that is non-invasive and easily removable is developed. In this section, the mechanical phenomenon that enables Skinput is discussed, with a specific focus on the mechanical properties of the arm.

The Skinput sensor and the processing techniques used to segment, analyze, and classify bio-acoustic signals are studied in this section. A method for controlling an iPod with skin-touch based input to select music tracks while jogging. Conclusion In this paper, the approach is to appropriate the human body as an input surface.

A novel, wearable bio-acoustic sensing array built into an armband in order to detect and localize finger taps on the forearm and hand is developed. Results from experiments have shown that the system performs very well for a series of gestures, even when the body is in motion.

Additionally, presented initial results demonstrating other potential uses of the approach, which are hoped to further explore in future work. These include single-handed gestures and taps with different parts of the finger.

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Skinput Technology Seminar | PPT | PDF Report

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The Microsoft company have developed Skinput , a technology that appropriates the human body for acoustic transmission, allowing the skin to be used as an input surface. In particular, we resolve the location of finger taps on the arm and hand by analyzing mechanical vibrations that propagate through the body. We collect these signals using a novel array of sensors worn as an armband. This approach provides an always available, naturally portable, and on-body finger input system.



Skinput is a technology that appropriates the human body for acoustic transmission, allowingthe skin to be used as an input surface. In particular, the location of finger taps on the arm andhand is resolved by analyzing mechanical vibrations that propagate through the body. Thesesignals are collected using a novel array of sensors worn as an armband. This approachprovides an always available, naturally portable, and on-body finger input system. Thecapabilities, accuracy and limitations of this technique are assessed through a two-part, twenty-participant user study.

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