A mobile terminal including a body; a touchscreen provided to a front and extending to side of the body and configured to display content; and a controller configured to detect one side of the body comes into contact with one side of an external terminal, display a first area on the touchscreen corresponding to a contact area of the body and the external terminal and a second area including the content, receive an input of moving the content displayed in the second area to the first area, display the content in the first area, and share the content in the first area with the external terminal.

Mobile terminal and method for controlling the same

Various embodiments provide systems and methods capable of facilitating interaction with handheld electronics devices based on sensing rotational rate around at least three axes and linear acceleration along at least three axes. In one aspect, a handheld electronic device includes a subsystem providing display capability, a set of motion sensors sensing rotational rate around at least three axes and linear acceleration along at least three axes, and a subsystem which, based on motion data derived from at least one of the motion sensors, is capable of facilitating interaction with the device.

Controlling and accessing content using motion processing on mobile devices

A method and apparatus for collecting and evaluating powered vehicle operation utilizing on-board diagnostic components and location determining components or systems. The invention creates one or more databases whereby identifiable behavior or evaluative characteristics can be analyzed or categorized. The evaluation can include predicting likely future events. The database can be correlated or evaluated with other databases for a wide variety of uses.

Motor vehicle operating data collection and analysis

A mobile terminal and a control method thereof, which can obtain an image, are provided. A mobile terminal (100) includes a camera unit (121), a pictogram extraction unit (182) and a controller (180). The camera unit (121) obtains image information corresponding to at least one of a still image and a moving image. The pictogram extraction unit (182) extracts at least one pictogram from the obtained image information. The controller (180) detects information related to the extracted pictogram, and displays the detected information to be overlapped with the obtained image information. In the mobile terminal, the controller (180) includes, as the detected information, at least one of previously recorded information and currently searched information related to the extracted pictogram.

Mobile terminal and control method thereof

A method is provided for modifying an image. The method comprises displaying an image, the image comprising a portion of an object; and determining if an edge of the object is in a location within the portion. The method further comprises detecting movement, in a member direction, of an operating member with respect to the edge. The method still further comprises moving, if the edge is not in the location, the object in an object direction corresponding to the detected movement; and modifying, if the edge is in the location, the image in response to the detected movement, the modified image comprising the edge in the location.

Information processing apparatus, information processing method and program

This paper presents a gesture input device, magic wand, with which a user can input gestures in 3-D space, inertial sensors embedded in it generate acceleration and angular velocity signals according to a user's hand movement. A trajectory estimation algorithm is employed to convert them into a trajectory on 2-D plane. The recognition algorithm based on Bayesian networks finds the gesture model with the maximum likelihood from it. The recognition performance of the proposed system is quite promising; the writer-independent recognition rate was 99.2% on average for the database of 15 writers and 13 gesture classes.

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Magic wand: a hand-drawn gesture input device in 3-D space with inertial sensors

In this paper, we propose gesture-based interaction methods using a tri-axis accelerometer for mobile devices. The algorithms for the gesture recognition and the shaking detection are suggested for gesture interaction. They have been implemented in the commercialized mobile phone (model name: SCH-S310). The mobile phone recognizes digits from 1 to 9 and five symbols written in the air. It detects the shaking motion to initiate commands for the gesture interactive games and musical instrument applications. We used the signals from a tri-axis accelerometer to recognize the gestures directly without trajectory estimation. In the experimental study, we achieved 97.01% of average recognition rate for a set of eleven gestures. The rate is cross validated from a whole data set of 3082 gestures from 100 users. The performance of the shaking detection methods shows that gesture-based interaction can be used as input methods of games and musical instrument applications for entertainment

Beatbox music phone: gesture-based interactive mobile phone using a tri-axis accelerometer

Provided are a 3D input apparatus and method for precisely detecting a position of the 3D input apparatus. The 3D input apparatus includes a sensor package which measures a first velocity an acceleration, and an angular velocity of the 3D input apparatus in a relative body coordinate system; a posture information generating unit, which generates posture information of the 3D input apparatus using the measured acceleration and angular velocity; a velocity transformation unit, which transforms the measured first velocity into a second velocity in an absolute coordinate system using the posture information; and a position restoration unit, which determines a position of the 3D input apparatus by integrating the second velocity.

3D input apparatus and method thereof

In this paper, we present a pen-shaped input device forwearable computers which reproduce and recognizethree-dimensional (3D) hand motions with no externalreferences. The input device is equipped with inertialsensors. The inertial sensors measure accelerations andangular velocities produced by a user's handwritingmotion in 2D/3D spaces. The measurements fromgyroscopes are integrated once to produce the attitude ofthe system and are consequently used to remove theeffects of the gravity and the inclination of the system.The compensated acceleration measurements are doublyintegrated to yield the position of the system. Due to theintegration processes involved in reproducing thehandwriting trajectory, the accuracy of the positionmeasurement significantly deteriorates along with time.To reproduce handwriting trajectory of a stroke on asurface and even in the air, we propose algorithms tosegment a stroke, to compensate the integration errors,and to reconstruct 2D trajectory on the x-y plane from 3Dtrajectory in the air. Real experimental results areincluded to show the effectiveness and feasibility of theproposed algorithms. The proposed methods provide anew approach for implementing a small, user-friendlykeyboard alternative input device for wearable computers.

Self-contained spatial input device for wearable computers

As many functionalities like cameras and MP3 players are converged to cell phones, more intuitive interaction methods are essential beyond tiny keypads. In this paper, we present gesture-based interactions and their two-stage recognition algorithm. Acceleration signals are generated from accelerometer. At the first stage, they are hierarchically modelled and matched as basic component and their relationships by Bayesian networks. At the second stage, they are further classified by SVMs for resolving confusing pairs. Our system showed enough recognition performance for commercialization; with 100 novice users, the average recognition rate was 96.9% on 11 gestures (digits 1-9, O, X). The algorithms have been adopted in the world-first gesture-recognizing Samsung cell phones since 2005.

/pdf/two-stage-recognition-of-raw-acceleration-signals-for-3-d-4w6hjhnrlw.pdf

Eun-Seok Choi

Papers

Magic wand: a hand-drawn gesture input device in 3-D space with inertial sensors

Beatbox music phone: gesture-based interactive mobile phone using a tri-axis accelerometer

3D input apparatus and method thereof

Self-contained spatial input device for wearable computers

Two-stage Recognition of Raw Acceleration Signals for 3-D Gesture-Understanding Cell Phones