RESEARCH PAPER ON SKINPUT TECHNOLOGY

While other systems, like SixthSense have attempted this with computer vision, Skinput employs acoustics, which take advantage of the human body’s natural sound conductive properties e. The amplitude of these ripples is correlated to both the tapping force and to the volume and compliance of soft tissues under the impact area. Ramchandra, Head of the Department, for giving me a chance to present this seminar. However, these transducers were engineered for very different applications than measuring acoustics transmitted through the human body. When shot with a high- speed camera, these appear as ripples, which propagate outward from the point of contact see video. This stage requires the collection of several examples for each input location of interest.

These include single-handed gestures, taps with different parts of the finger, and differentiating between materials and objects. 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. Retrieved from ” https: For example, determining whether, e. Skinput leverages the natural acoustic conduction properties of the human body to provide an input system, and is thus related to previous work in the use of biological signals for computer input. This excitation vibrates soft tissues surrounding the entire length of the bone, resulting in new longitudinal waves that propagate outward to the skin. For example, describes a technique that allows a small mobile device to turn tables on which it rests into a gestural finger input canvas.

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. Ramchandra, Head of the Department, for giving me a chance to present this seminar.

Ieee research paper on skinput technology – Google Docs

Youtube from CHI conference. The eyes-free input condition yielded lower accuracies than other conditions, averaging Enter the email address technollogy signed up with and we’ll email you a reset link. Finally, bone conduction microphones and headphones now common consumer technologies – represent an additional bio- sensing technology that is relevant to the present work.

  RESEARCH PAPER ABOUT KAKAWATE

Any interactive features bound to that event are fired.

We conclude with descriptions of several prototype applications that demonstrate the rich design space we believe Skinput enables. It is employed as an Output device that shows menu or whatever functionality user wants to use according to the tap. 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. This effect was more prominent laterally than longitudinally.

However, tables are not gechnology present, and in a mobile context, users are unlikely to want to carry appropriated twchnology with them at this point, one might as well just have a larger device. The armband has small projector which the arms to enjoy the technology is not preferable for whole displays the content on the surface area and sknput the user day and especially for senior citizens, it would create taps on different areas of the arm while wearing an armband inconvenience for them.

Third, it classified these input instances. These are fed into the trained SVM for classification. Segmentation, as in other conditions, was essentially perfect. When the sensor was placed below the elbow, on the forearm, one package was located near the Radius, the bone that runs from the lateral side of the elbow to the thumb side of the wrist, and the other near the Ulna, which runs parallel to this on the medial side of the arm closest to the body.

Third, it classified these input instances. While bone conduction microphones might seem a suitable choice for Skinput, these devices are typically engineered for capturing human voice, and filter out energy below the range of human speech whose lowest frequency is around 85Hz. In the present work, we briefly explore the combination of on-body sensing with on- body projection. Other approaches have taken the form of wearable computing. Inspection of the confusion matrices showed no systematic errors in the classification, with errors tending to be evenly distributed over the other digits.

  CSSSA CREATIVE WRITING EXPERIENCE

This suggests there are only limited acoustic continuities between the fingers. technolpgy

Skinput: appropriating the body as an input surface

By using this site, you agree to the Terms of Use and Privacy Policy. Signals simply diminished in intensity overtime. However, these transducers were engineered for very different applications than measuring acoustics transmitted through the human body. One option is to opportunistically appropriate surface area from the environment for interactive purposes.

research paper on skinput technology

Bone conduction microphones are typically worn near the ear, where they can sense vibrations propagating from the mouth and larynx during speech. While we do not skinpkt model the resdarch 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.

research paper on skinput technology

In addition to the energy that propagates on the surface of resrarch arm, some energy is transmitted inward, toward the skeleton Figure 3. Finally, bone conduction microphones and headphones now common consumer technologies – represent an additional bio- sensing technology that is relevant to the present work.

When the band is placed on the upper arm above the “Skinput” refers to a new input technology that essentially elbowit is able to collect the acoustic information from the makes use of human body as an input device.

We collect these signals using a novel array of sensors worn as an armband. Adding more mass lowers the range of excitation to which a sensor responds; we weighted each element such that it aligned with particular frequencies that pilot studies showed to be useful in characterizing bio-acoustic input.

Author: admin

RESEARCH PAPER ON SKINPUT TECHNOLOGY

From these, average amplitude ratios between channel pairs 45 features are calculated. This reduced sample rate and consequently low processing bandwidth makes our technique readily portable to embedded processors. Skinput has been publicly demonstrated as an armband, which sits on the biceps. I am very grateful to Prof. Signals simply diminished in intensity overtime. It describes a novel, wearable bio-acoustic sensing array that we built into an armband in order to detect and localize finger taps on the forearm and hand. Other approaches have taken the form of wearable computing.

These features are generally subconsciously driven and cannot be controlled with sufficient precision for direct input. 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 to a unique, narrow, low-frequency band of the acoustic spectrum. Conversely, we tuned the lower sensor array to be sensitive to higher frequencies, in order to better capture signals transmitted though denser bones. For example, the ATmega processor employed by the Arduino platform can sample analog readings at 77 kHz with no loss of precision, and could therefore provide the full sampling power required for Skinput 55 kHz total. Thus, the results presented are to be considered a baseline.

Skinput: appropriating the body as an input surface

Once an input is classified, an event associated with that location is instantiated. Log In Sign Up.

research paper on skinput technology

However, their small size typically leads to limited interaction space e. Brute force machine learning approach is employed, technokogy features in total, many of which are derived combinatorially. 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.

Retrieved from ” https: 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.

  CSSSA CREATIVE WRITING EXPERIENCE

(DOC) SKINPUT TECHNOLOGY | Sai Dheeraj Reddy –

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. These longitudinal compressive waves travel through the soft tissues of the arm, exciting the bone, which is much less deformable then the soft tissue but can respond to mechanical excitation by rotating and translating as a rigid body.

Bone conduction headphones send sound through the bones of the skull and jaw s,input to the inner ear, bypassing transmission of sound through the air and outer ear, leaving an unobstructed path for environmental sounds.

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. Apart from the efforts of me, the success of this project depends largely on papsr encouragement and guidelines of many others. Furthermore, proprioception our sense of how our body is configured in three-dimensional space allows us oj accurately interact skinptu our bodies in an eyes-free manner.

Click here to sign up. These are fed into the trained SVM for classification.

research paper on skinput technology

First, it provided a live visualization of the data from our ten sensors, which was useful in identifying acoustic features. 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.

This approach is feasible, but suffers from serious occlusion and accuracy limitations.

Ieee research paper on skinput technology – Google Docs

Few external input devices can claim this accurate, eyes-free input characteristic and provide such a large interaction area. Tech seminar report undertaken during B. We assess the capabilities, accuracy and limitations of our technique through a two-part, twenty-participant user study.

  LANCIA THESIS 2.4 JTD SPALANIE

This suggests there are only limited acoustic continuities between the fingers. Tech seminar report undertaken during B. When using Skinput to recognize live input, the same acoustic features are computed on-the fly for each segmented input.

Second, it segmented inputs from the data stream into independent instances taps. We assess the capabilities, accuracy and limitations of our technique through a two-part, twenty-participant user study. The eyes-free input condition yielded lower accuracies than other conditions, averaging Techniques based on computer vision are popular.

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.

In our prototype system, we choose to focus on the arm although the technique could be applied elsewhere. We tuned the upper sensor package to be more sensitive to lower frequency signals, as these were more prevalent in fleshier areas. Bone conduction microphones are typically worn near the ear, where they can sense vibrations propagating from the mouth and larynx during speech.

Skip to main content.

Retrieved from ” https: This is an attractive area to appropriate as it provides considerable surface area for tecynology, including a contiguous and flat area for projection.

Then we will describe the Skinput sensor and the processing techniques we use to segment, analyze, and classify bio-acoustic signals.

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.

Author: admin