Abstract: It is provided a surface-treated steel sheet that can be produced without using hexavalent chromium and has excellent sulfide staining resistance and coating secondary adhesion. It is a surface-treated steel sheet having: a Sn plating layer; a metallic Cr layer disposed on the Sn plating layer; and a Cr oxide layer disposed on the metallic Cr layer, on at least one surface of a steel sheet, and the surface-treated steel sheet has a water contact angle of 50° or less and a total atomic ratio of K, Na, Mg, and Ca adsorbed on the surface to Cr of 5% or less.

Abstract: An all-solid-state battery includes an electrode body in which a cathode layer that contains a cathode active material and a solid electrolyte, an electrolyte layer that is formed of the solid electrolyte, and an anode layer that contains an anode active material and the solid electrolyte are stacked in this order in an up-down direction, in which the cathode active material is a compound represented by a chemical formula Li2Fe(1-x)MxP(2-y)AyO7, contains at least one metal of Ti, V, Cr, Ni, and Co as the M in the chemical formula, and contains at least one element of B, C, Al, Si, Ga, and Ge as the A in the chemical formula, the x in the chemical formula satisfies 0.8<x?1, the y in the chemical formula satisfies 0?y?0.07, and the anode active material is an anatase titanium oxide represented by a chemical formula TiO2.

Abstract: Techniques for controlling motions using motion recognizers generated in advance by users are described. According to embodiment, the motion recognizers created by end users are utilized to control virtual objects displayed in a virtual environment. By manipulating one or more motion sensitive devices, end users could command what the objects to do in the virtual environment. Motion signals from each of the motion sensitive devices are recognized in accordance with the motion recognizers created in advance by the users. One or more of the motion signals are at the same time utilized to tune the motion recognizers or create additional motion recognizers. As a result, the motion recognizers are constantly updated to be more accommodating to the user(s).

Abstract: Techniques for supporting generalized motion recognition are disclosed. A set of motion recognizers created from training sets of labeled processed motion signals is provided, each of the component outputs is transformed. When a motion signal including two or more component outputs is received, the component outputs are transformed into device-independent motion signals, where each of the component outputs describes a different component of a motion made by a user. The motion recognizers are applied to the motion signal to build generalized motion recognizers responsive to the motion sensitive device that has generated the motion signal.

Abstract: Techniques for performing anytime motion recognition are disclosed. Based on a motion signal received from a motion-sensitive device being manipulated by a user as a way to interact with an application, a processing unit is configured to a set of prototypes included in a motion recognizer to generate a recognition signal from the motion signal in response to the motion recognizer. A prototype is eliminated out of the set of the prototypes from further consideration when a corresponding running distance of the prototype to the motion signal is beyond a predefined measurement so that the motion recognition speeds up as time passes.

Abstract: Techniques for performing motion recognition using generalized motion recognition capability are disclosed. At least two types of sensors are used to generate sensor signals about a motion made by a user. The sensor signals are then transformed to device-independent motion signals that may be used to build generalized motion recognizers or used with one or more generalized motion recognizers responsive to the sensors. At least one of objects in a virtual interactive environment is responsive to a recognition signal determined from the motion signal and the generalized motion recognizers.

Abstract: Techniques for motion recognition using multiple data streams are disclosed. Multiple data streams from inertia sensors as well as non-inertial sensors are received to derive a motion recognition signal from motion recognizers. These motion recognizers are originally constructed from a training set of motion signals and may be updated with received multiple sensing signals. In one aspect, multiple data streams are converted to device-independent motion signals that are applied with the motion recognizers to provide a generalized motion recognition capability.

Abstract: Techniques for performing motion recognition with minimum delay are disclosed. A processing unit is provided to receive motion signals from at least one motion sensing device, where the motion signal describes motions made by a user. The processing unit is configured to access a set of prototypes included in a motion recognizer to generate corresponding recognition signals from the motion signals in response to the motion recognizer without considering one or more of the prototypes completely in the motion recognizer. Movements of at least one of the objects in a virtual interactive environment is responsive to the recognition signals such that feedback from the motions to control the one of the objects is immediate and substantially correct no matter how much of the motion signals have been received.

Abstract: Techniques for performing motion recognition with minimum delay are disclosed. A processing unit is provided to receive motion signals from at least one motion sensing device, where the motion signal describes motions made by a user. The processing unit is configured to access a set of prototypes included in a motion recognizer to generate corresponding recognition signals from the motion signals in response to the motion recognizer without considering one or more of the prototypes completely in the motion recognizer. Movements of at least one of the objects in a virtual interactive environment is responsive to the recognition signals such that feedback from the motions to control the one of the objects is immediate and substantially correct no matter how much of the motion signals have been received.

Abstract: Techniques for motion recognition using multiple data streams are disclosed. Multiple data streams from inertia sensors as well as non-inertial sensors are received to derive a motion recognition signal from motion recognizers. These motion recognizers are originally constructed from a training set of motion signals and may be updated with received multiple sensing signals. In one aspect, multiple data streams are converted to device-independent motion signals that are applied with the motion recognizers to provide a generalized motion recognition capability.

Abstract: Techniques for controlling motions using motion recognizers generated in advance by users are described. According to embodiment, the motion recognizers created by end users are utilized to control virtual objects displayed in a virtual environment. By manipulating one or more motion sensitive devices, end users could command what the objects to do in the virtual environment. Motion signals from each of the motion sensitive devices are recognized in accordance with the motion recognizers created in advance by the users. One or more of the motion signals are at the same time utilized to tune the motion recognizers or create additional motion recognizers.

Abstract: End users, unskilled in the art, generating motion recognizers from example motions, without substantial programming, without limitation to any fixed set of well-known gestures, and without limitation to motions that occur substantially in a plane, or are substantially predefined in scope. From example motions for each class of motion to be recognized, a system automatically generates motion recognizers using machine learning techniques. Those motion recognizers can be incorporated into an end-user application, with the effect that when a user of the application supplies a motion, those motion recognizers will recognize the motion as an example of one of the known classes of motion. Motion recognizers can be incorporated into an end-user application; tuned to improve recognition rates for subsequent motions to allow end-users to add new example motions.