Published on Apr 19, Abstract 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. We assess the capabilities, accuracy and limitations of our technique through a two-part, twenty-participant user study.
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Published on Apr 19, Abstract 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.
We assess the capabilities, accuracy and limitations of our technique through a two-part, twenty-participant user study.
To further illustrate the utility of our approach, we conclude with several proof-of-concept applications we developed Introduction of Skinput Technology The primary goal of Skinput is to provide an alwaysavailable mobile input system - that is, an input system that does not require a user to carry or pick up a device.
A number of alternative approaches have been proposed that operate in this space. Techniques based on computer vision are popular These, however, are computationally expensive and error prone in mobile scenarios where, e. Speech input is a logical choice for always-available input, but is limited in its precision in unpredictable acoustic environments, and suffers from privacy and scalability issues in shared environments.
Other approaches have taken the form of wearable computing. For example, glove-based input systems allow users to retain most of their natural hand movements, but are cumbersome, uncomfortable, and disruptive to tactile sensation. Post and Orth present a "smart fabric" system that embeds sensors and conductors into abric, but taking this approach to always-available input necessitates embedding technology in all clothing, which would be prohibitively complex and expensive. This approach is feasible, but suffers from serious occlusion and accuracy limitations.
For example, determining whether, e. These features are generally subconsciouslydriven and cannot be controlled with sufficient precision for direct input. In contrast, brain signals have been harnessed as a direct input for use by paralyzed patients, but direct brain computer interfaces BCIs still lack the bandwidth requiredfor everyday computing tasks, and require levels of focus, training, and concentration that are incompatible with typical computer interaction.
There has been less work relating to the intersection of finger input and biological signals. Researchers have harnessed the electrical signals generated by muscle activation during normal hand movement through electromyography EMG.
At present, however, this approach typically requires expensive amplification systems and the application of conductive gel for effective signal acquisition, which would limit the acceptability of this approach for most users. However, this work was never formally evaluated, as is constrained to finger motions in one hand. Performance of false positive rejection remains untested in both systems at present. Moreover, both techniques required the placement of sensors near the area of interaction e.
Finally, bone conduction microphones and headphones - now common consumer technologies - represent an additional bio-sensing technology that is relevant to the present work. These leverage the fact that sound frequencies relevant to human speech propagate well through bone. Bone conduction microphones are typically worn near the ear, where they can sense vibrations propagating from the mouth and larynx during speech.
Bone conduction headphones send sound through the bones of the skull and jaw directly to the inner ear, bypassing transmission of sound through the air and outer ear, leaving an unobstructed path for environmental sounds Next More Seminar Topics: Are you interested in this topic.
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Skinput Technology Seminar | PPT | PDF Report
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.
Skinput Technology Seminar Report
Press The Principle of Skinput Technology: The skinput technology works on the principle of bio-acoustic. Whenever there is a tap of a finger on the skin then the impact of that tap generates acoustic signals. These generated acoustic signals can be captured with the aid of a device which is a bio-acoustic sensing machine. The Little amount of energy is lost in the form of sound waves to the external environment. The amplitude on the soft surface like forearm is larger when compared with the amplitude on the hard surface like an elbow. The amplitude of the wave changes with the force of disturbance.