According to an embodiment, an electronic device may comprise: a flexible display, at least one microphone, a sensor, a communication module comprising communication circuitry, and at least one processor operatively connected with the flexible display, the at least one microphone, the sensor, and the communication module. The at least one processor may be configured to: based on receiving a call signal from an external electronic device through the communication module, identify whether the call signal is a video call signal, based on the call signal being the video call signal, identify a folding state of the electronic device through the sensor, adjust a sound signal received through the at least one microphone based on the folding state, and control the communication module to transmit the adjusted sound signal to the external electronic device.

A foldable electronic device and method for the same are disclosed herein. The foldable electronic device includes at least one display, a sensor, at least one camera, a processor, at least one switch electrically connecting the at least one display, at least one camera and processor. The processor implements the method, including: detecting an operating state of the device via the sensor, and controlling the at least one switch to selectively connect the processor to one of the display and the at least one camera, based on the detected operating state.

Computing devices and methods for determining opening and closing of touch sensitive interfaces are disclosed. In one example, a computing device comprises a touch screen display on a first substrate that is rotatably coupled to a second substrate that includes a trackpad. A trackpad identification signal transmitted by the trackpad is received at the touch screen display, and a touch screen identification signal transmitted by the touch screen is received at the trackpad. If the trackpad identification signal matches a trackpad identification key and the touch screen identification signal matches a touch screen identification key, then an energy level of one or both signals is compared to an energy level threshold. Based at least in part on the comparison of the energy level to the threshold, a power state transition is initiated.

A machine learning model is trained for user activity detection and context detection on a mobile device. The machine learning model is configured to learn a statistical relationship between an always-on sensing modality of the mobile device and actual user context. Rather than user annotations, the machine learning model is enhanced and personalized for the always-on sensing modality by automated annotations obtained from non-always-on sensing modalities. The non-always-on sensing modality opportunistically provides an imperfect label of user context, where the imperfect label has a known associated probability of error.

In some embodiments, an electronic device can guide the user in setting up the device for the first time or after a factory reset. In some embodiments, an electronic device facilitates suggesting and installing applications on the electronic device during device setup. In some embodiments, an electronic device facilitates transferring settings and information from another electronic device during device setup.

Digital signal processing circuitry, in operation, determines, based on accelerometer data, a carry-position of a device. Double-tap detection parameters are set using the determined carry-position. Double-taps are detected using the set double-tap detection parameters. In response to detection of a double-tap, control signals, such as a flag or an interrupt signal, are generated and used to control operation of the device. For example, a device may enter a wake mode of operation in response to detection of a double-tap.

An information processing apparatus that detects a voice command via a microphone in order to activate the device and execute certain applications. The apparatus comprises a digital signal processor (DSP) and a host controller which are responsible for processing the voice commands. The DSP recognizes and processes voice commands intermittently while the host processor is in a sleep state, thereby reducing the overall power consumption of the apparatus. Further, when the DSP is configured to recognize voice commands intended, only to activate the device, a memory having a sufficiently lower storage capacity suffices.

An information processing apparatus that detects a voice command via a microphone in order to activate the device and execute certain applications. The apparatus comprises a digital signal processor (DSP) and a host controller which are responsible for processing the voice commands. The DSP recognizes and processes voice commands intermittently while the host processor is in a sleep state, thereby reducing the overall power consumption of the apparatus. Further, when the DSP is configured to recognize voice commands intended, only to activate the device, a memory having a sufficiently lower storage capacity suffices.

An electronic device is provided. The electronic device includes a display, an electronic pen, a slot in which the electronic pen can be inserted in or detached from, a pen sensing module configured to sense an insertion/detachment of the electronic pen, a pen input module configured to receive an input using the electronic pen, and a processor configured to activate the pen input module while the display maintains an OFF-state when the detachment of the electronic pen is sensed within the OFF-state of the display.

An electronic device is provided. The electronic device includes a display, an electronic pen, a slot in which the electronic pen can be inserted in or detached from, a pen sensing module configured to sense an insertion/detachment of the electronic pen, a pen input module configured to receive an input using the electronic pen, and a processor configured to activate the pen input module while the display maintains an OFF-state when the detachment of the electronic pen is sensed within the OFF-state of the display.