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.
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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.
This suggests there are only limited acoustic continuities between the fingers. technolpgy
Skinput: appropriating the body as an input surface
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.
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.