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. As such, we found them to be lacking in several significant ways. We conclude with descriptions of several prototype applications that demonstrate the rich design space we believe Skinput enables. An average of these ratios 1 feature is also included. Thus, the results presented are to be considered a baseline.
We collect these signals using a novel array of sensors worn as an armband. Apart from the efforts of me, the success of this project depends largely on the encouragement and guidelines of many others. Tech seminar report undertaken during B. Segmentation, as in other conditions, was essentially perfect. 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.
Basically it is located between the shoulder and elbow joint. We conclude with descriptions of tehnology prototype applications that demonstrate the rich design space we believe Skinput enables. Like speech recognition systems, the Skinput recognition engine must be trained on the “sound” of each input location before use.
We collect these signals using a novel array of sensors worn as an armband.
In particular, when placed on the upper arm above the elbowwe hoped to collect acoustic information from the fleshy bicep area in addition to the firmer area on the underside of the arm, with better acoustic coupling to the Humerus, the main bone that runs from shoulder to elbow. Before the SVM can classify input instances, it must first be trained to the user and the sensor position.
Signals simply diminished in intensity overtime. The eyes-free input condition yielded lower accuracies than other conditions, averaging These include single-handed gestures, taps with different parts of the finger, and differentiating between materials and objects.
The decision to have two sensor packages was motivated by our focus on the arm for input. I am very grateful to Prof.
Skinput: appropriating the body as an input surface
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. In particular, resolves the location of finger tips on the arm and hand by analyzing mechanical vibrations that propagate through the body.
Our approach is also inspired by systems that leverage acoustic transmission through non-body input surfaces. In addition to the energy that propagates on the surface of technooogy arm, some energy is transmitted inward, toward the skeleton Figure 3. First, it provided a live visualization of the data from our ten sensors, which was useful in identifying acoustic dkinput.
Apart from the efforts of me, the success of this project depends largely on the encouragement and guidelines of many others. For example, describes a technique that allows a small mobile device to turn tables on which it rests into a gestural finger input canvas.
Conversely, we tuned the lower sensor array to be sensitive to higher frequencies, in order to better capture signals transmitted though denser bones. This suggests there are only limited acoustic continuities between the fingers. Other approaches have taken the form of wearable computing.
(DOC) SKINPUT TECHNOLOGY | Sai Dheeraj Reddy –
This approach is feasible, but suffers from serious occlusion and accuracy limitations. Help Center Find new research papers in: When an intensity threshold was exceeded, the program recorded the timestamp as a potential start of a tap.
This is not surprising, as this condition placed the sensors closer to the input targets than the other conditions.
An average of these ratios 1 feature is also included. Brute force machine learning approach is employed, computing features in total, many of which are derived combinatorially.
There is bottleneck in the interface as work pn to it. When a finger taps the skin, several distinct forms of acoustic energy are produced. Remember me on this computer.
For gross information, the average amplitude, standard deviation and total absolute energy of the waveforms in each channel 30 features is included. The only potential exception to this was in the case of the pinky, where the ring finger constituted Any interactive features bound to that event are fired.
The primary goal of Skinput is to provide an always available mobile input system that is, an input system that does not require a user to carry or pick up a device. In this section, we discuss the mechanical phenomenon that enables Skinput, with a specific focus on the mechanical properties of the arm.
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