can you please provide me a seminar report on skinput technology

The company Microsoft has developed Skin put. That appropriates the human body for acoustic transmission, allowing the skin to be used as an entry surface. In particular, we resolve the location of the finger taps on the arm and hand by analyzing mechanical vibrations that propagate through the body. We collect these signals using a new series of sensors used as a bracelet. This approach provides an always available finger input system, naturally portable and in the body. We evaluated the capabilities, the precision and the limitations of our technique through a user study of two parties and twenty participants. To further illustrate the usefulness of our approach, we conclude with several proof-of-concept applications that we develop.

The main objective of Skinput is to provide an always available mobile input system, ie 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. However, these are computationally expensive and error prone in mobile scenarios (where, for example, optical flow without input is frequent). Voice input is a logical choice for input always available, but it is limited in accuracy in unpredictable acoustic environments and suffers privacy and scalability issues in shared environments. Other approaches have taken the form of portable computing.

This typically involves a physical input device constructed in a manner considered as part of the clothing. For example, glove-based input systems allow users to retain most of their natural hand movements, but they are uncomfortable, uncomfortable, and detrimental to tactile sensation. Post and Orth present a "smart fabric" system that incorporates sensors and drivers abruptly, but given this approach to entry always available, filler technology is required in all clothing, which would be prohibitively complex and costly.

The Sixth Sense project proposes mobile and always available input / output capability by combining projected information with a color-based vision tracking system. This approach is feasible, but suffers from severe limitations of occlusion and precision. For example, it is extremely difficult to determine whether, for example, a finger has touched a button or is simply suspended above it.