Abstract: A teleconferencing system for providing remote assistance comprises a local user apparatus that captures both the field of view of the local user along with physiological state of the local user, and a remote user apparatus to allow the remote user to view what the local user is seeing and doing. The local user and remote user have a shared view and a shared audio link, and the remote user can provided assistance to the local user in performing tasks at the local site. Additionally the physiological state of the local user is monitored, and from the physiological state data, an estimate of the emotional state or physiological state of the local user is provided to the remote user. The remote user can interact or assist the local user, including controlling the amount and/or type of assistance provided to the local user based on their current emotional state.

Abstract: A teleconferencing system for providing remote assistance comprises a local user apparatus that captures both the field of view of the local user along with physiological state of the local user, and a remote user apparatus to allow the remote user to view what the local user is seeing and doing. The local user and remote user have a shared view and a shared audio link, and the remote user can provided assistance to the local user in performing tasks at the local site. Additionally the physiological state of the local user is monitored, and from the physiological state data, an estimate of the emotional state or physiological state of the local user is provided to the remote user. The remote user can interact or assist the local user, including controlling the amount and/or type of assistance provided to the local user based on their current emotional state.

Abstract: Embodiments described herein may help to provide methods for sharing and viewing part of an environment of a computing device, such as a head-mountable device (HMD). An example method involves: (a) determining a still photo panorama of an environment, (b) receiving a video stream of a first portion of the environment from a video camera on a sharing device, (c) determining a registration data stream, where the registration data stream indicates a location and an orientation of the video stream within the still photo panorama of the environment; and (d) transmitting the video stream and the registration data stream to one or more viewing devices.

Abstract: Embodiments described herein may help to provide methods for sharing and viewing part of an environment of a computing device, such as a head-mountable device (HMD). An example method involves: (a) determining a still photo panorama of an environment, (b) receiving a video stream of a first portion of the environment from a video camera on a sharing device, (c) determining a registration data stream, where the registration data stream indicates a location and an orientation of the video stream within the still photo panorama of the environment; and (d) transmitting the video stream and the registration data stream to one or more viewing devices.

Abstract: Embodiments described herein may help to provide methods for sharing and viewing part of an environment of a computing device, such as a head-mountable device (HMD). An example method involves: (a) determining a still photo panorama of an environment, (b) receiving a video stream of a first portion of the environment from a video camera on a sharing device, (c) determining a registration data stream, where the registration data stream indicates a location and an orientation of the video stream within the still photo panorama of the environment; and (d) transmitting the video stream and the registration data stream to one or more viewing devices.

Abstract: Embodiments described herein may help to provide a lock-screen for a computing device. An example method involves, while a computing device is in a locked mode, the computing device: (a) analyzing head-pose data to determine whether a head pose associated with the computing device matches a predetermined head pose, (b) analyzing touchpad data associated with the computing device to detect a predetermined sequence of touch gestures, (c) if both (i) the head pose matches the predetermined head pose and (ii) the predetermined sequence of touch gestures is detected, then the computing device switching to an unlocked mode, and (d) otherwise, refraining from causing computing device switch to the unlocked mode.

Abstract: Embodiments described herein may help to provide a lock-screen for a computing device. An example method involves, while a computing device is in a locked mode, the computing device: (a) analyzing head-pose data to determine whether a head pose associated with the computing device matches a predetermined head pose, (b) analyzing touchpad data associated with the computing device to detect a predetermined sequence of touch gestures, (c) if both (i) the head pose matches the predetermined head pose and (ii) the predetermined sequence of touch gestures is detected, then the computing device switching to an unlocked mode, and (d) otherwise, refraining from causing computing device switch to the unlocked mode.

Abstract: Embodiments described herein may help to provide a lock-screen for a computing device. An example method involves, while a computing device is in a locked mode, the computing device: (a) analyzing head-pose data to determine whether a head pose associated with the computing device matches a predetermined head pose, (b) analyzing touchpad data associated with the computing device to detect a predetermined sequence of touch gestures, (c) if both (i) the head pose matches the predetermined head pose and (ii) the predetermined sequence of touch gestures is detected, then the computing device switching to an unlocked mode, and (d) otherwise, refraining from causing computing device switch to the unlocked mode.

Abstract: Embodiments described herein may help to provide a lock-screen for a computing device. An example method involves, while a computing device is in a locked mode, the computing device: (a) analyzing head-pose data to determine whether a head pose associated with the computing device matches a predetermined head pose, (b) analyzing touchpad data associated with the computing device to detect a predetermined sequence of touch gestures, (c) if both (i) the head pose matches the predetermined head pose and (ii) the predetermined sequence of touch gestures is detected, then the computing device switching to an unlocked mode, and (d) otherwise, refraining from causing computing device switch to the unlocked mode.