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RESEARCH PAPER ON SKINPUT TECHNOLOGY

Furthermore, proprioception our sense of how our body is configured in three-dimensional space allows us to accurately interact with our bodies in an eyes-free manner. Our approach is also inspired by systems that leverage acoustic transmission through non-body input surfaces. Few external input devices can claim this accurate, eyes-free input characteristic and provide such a large interaction area. Bones are held together by ligaments, and joints often include additional biological structures such as fluid cavities. When classification was incorrect, the system believed the input to be an adjacent finger These leverage the fact that sound frequencies relevant to human speech propagate well through bone. This approach is feasible, but suffers from serious occlusion and accuracy limitations.

On every touch and every part, many things are controlled with the help of sensors that are placed on the arm. By using this site, you agree to the Terms of Use and Privacy Policy. 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. Then we will describe the Skinput sensor and the processing techniques we use to segment, analyze, and classify bio-acoustic signals. A person might walk toward their home, tap their palm to unlock the door and then tap some virtual buttons on their arms to turn on the TV and start flipping through channels. From Wikipedia, the free encyclopedia. This effect was more prominent laterally than longitudinally.

While we do not explicitly model the specific mechanisms of conduction, or depend on these mechanisms for our analysis, we do believe the success of our technique depends on the complex acoustic patterns that result from mixtures of these modalities. Last but not the least, I acknowledge my friends for their contribution in the completion of the seminar report. We highlight these two separate forms of conduction transverse waves moving directly along the arm surface, and longitudinal waves moving into and out of the bone through soft tissues because these mechanisms carry energy at different frequencies and over different distances.

When shot with a high- speed camera, these appear as ripples, which propagate outward from the point of contact see video. However, their small size typically leads to limited interaction space e. While fechnology conduction microphones might seem a suitable choice for Skinput, these devices yechnology typically engineered for capturing human voice, and filter out energy below the range of human speech whose lowest frequency is around 85Hz.

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This reduced sample rate and consequently low processing bandwidth makes our technique readily portable to embedded processors. The first public appearance was at Microsoft’s TechFestwhere the recognition model was trained live on stage, during the presentation, followed by an interactive walkthrough of a simple mobile application with four modes: This approach is feasible, but suffers from serious occlusion and accuracy limitations.

One option is to opportunistically appropriate surface area from the environment for interactive purposes.

(DOC) SKINPUT TECHNOLOGY | Sai Dheeraj Reddy –

By adding small weights to the end of the cantilever, we are able to alter the resonant frequency, allowing the sensing element to be responsive skniput a unique, narrow, low-frequency band of the acoustic spectrum.

Finally, our sensor design is relatively inexpensive and xkinput be manufactured in a very small form factor e. I also do not like to miss the opportunity to acknowledge the contribution of all dignitary Staff-members of Nalla Malla Reddy Engineering College for their kind assistance and cooperation during the development of my Seminar report.

This effect was more prominent laterally than longitudinally. This is not surprising, as this condition placed the sensors closer to the input targets than the other conditions.

I also do not like to miss the opportunity to acknowledge the contribution of all dignitary Staff-members of Nalla Malla Reddy Engineering College for their kind assistance and cooperation during the development of my Seminar report. Since we cannot simply make buttons and screens larger without losing the primary benefit of small size, we consider alternative approaches that enhance interactions with small mobile systems.

Skinput: appropriating the body as an input surface

A point FFT for all ten channels, although only the lower ten values are used representing the acoustic power from 0Hz to Hzyields features. Similarly, we also believe that joints play an important role in making tapped locations acoustically distinct. I also do not like to miss the opportunity to acknowledge the contribution of all dignitary Staff-members of Nalla Malla Reddy Engineering College for their kind assistance and cooperation during the development of my Seminar report.

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This is an attractive area to appropriate as it provides considerable surface area for interaction, including a contiguous and flat area for projection. Like speech recognition systems, the Skinput recognition technollogy must be trained on the “sound” of each input location before use.

research paper on skinput technology

This page was last edited on 20 Septemberat However, this work was never formally evaluated, as is constrained to finger motions in one hand. Click here to sign up. Techniques based on computer vision are popular. The audio stream was segmented into individual taps using an absolute exponential average of all ten channels.

A full description of SVMs is beyond the scope of this paper. Despite being a Microsoft Research internal project, Laper has been demonstrated publicly several times. Some energy is radiated into the air as sound waves; this energy is not captured by the Skinput system.

Ieee research paper on skinput technology – Google Docs

This program performed three key functions. The first public appearance was at Microsoft’s TechFestwhere the recognition model was trained live on stage, during the presentation, followed by an interactive walkthrough of a simple mobile application with four modes: This is not surprising, as this condition placed the sensors closer to the input targets than the other conditions. When classification was incorrect, the system believed the input to be an adjacent finger To overcome these challenges, the idea of a single sensing element with a flat response curve, to an array of highly tuned vibration sensors was dropped.

However, their small size typically leads to limited interaction space e.

research paper on skinput technology

Once an input is classified, an event associated with that location is instantiated.