Sony Corporation

Sony Corporation of America

Amazon Technologies, Inc.

Sony Group Corporation

Anton Kalachev

Behram DaCosta

Udupi Ramanath Bhat

Vladimir Elgort

Nobuo Tanaka

Ludovic Copere

Masaki Kataoka

Jacelyn Danielson

John Wong

Anthony George Robson

Richard W Kim

Xiaoxu Liu

An autonomous mobile device (AMD) moves in a physical space and uses a dock located at a first pose. Sometimes a user may move the dock. To determine whether the dock has moved, the AMD compares first pose data that was previously obtained while at the dock in the first pose to second pose data, such as after a restart or after leaving the dock. If a difference between the first pose and the second pose is greater than a threshold, the dock has moved. The pose data may be determined using a simultaneous localization and mapping (SLAM) algorithm to process images from cameras on the AMD. Transform data that relates coordinates of the second pose to coordinates of the first pose may be determined. If the dock is used as an origin for a map of the physical space, the transform data may be used to update the map.

System to maintain a dock location of an autonomous mobile device

A system and method including a disposable wearable device that provides enhanced capabilities to a non-wearable device for a limited period of time by sensing proximity and securely exchanging permissions with the non-wearable device. In one embodiment, the wearable device is capable of sensing one or more bio-signals that are provided to the non-wearable, tactile feedback, or the like. The wearable device may be disposable and may also provide additional tactile feedback for the extended feature (e.g. game feedback, etc). In another embodiment, the wearable device is capable of sensing one or more bio-signals that are provided to the non-wearable, tactile feedback, or the like.

Proximity based and data exchange and user authentication between smart wearable devices

A smart wearable device with sensors that can acquire biological input about the user as well as environmental data is presented. Theses sensors can acquire sensor input which causes the smart wearable device to identify a required task to perform. If the smart wearable device determines that the task can only be performed properly by acquiring new capabilities, the smart wearable device can automatically acquire the necessary capabilities from various data sources and configure itself to perform the task properly.

Smart wearable devices and methods for automatically configuring capabilities with biology and environment capture sensors

Smart wearable devices and methods are disclosed for providing feedback for optimal placement of the wearable device. This includes systems and methods to lock or unlock a wearable device and/or notify external wearable/non-wearable devices depending on the states of the wearer by sending notification or providing feedback if mispositioned or repositioned on the wearer. A system and method are disclosed for providing a user indication of proper placement of a wearable device by providing feedback based on acquired bio-signal quality. In one embodiment, bio-signal quality is acquired by comparing a computed signal to noise ratio to that of an expected signal.

Body position optimization and bio-signal feedback for smart wearable devices

A wearable sensor device, system and method are provided for monitoring the attention, workload or other physical status of the wearer of the wearable sensor device. At least one biometric index value is formulated for a characteristic status from the processed sensor data of the sensors of the device and the biometric index value may also incorporate prior test data and questionnaire response information in the calculated value. The system may include any number of wearable devices that have sensors, a processor and a communications link as well as a remote computer and a non-wearable device with an interface. The status of the wearer of a wearable sensor device can be monitored with the simple display of the biometric index value as well as the data from the individual sensors.

Smart wearable devices and methods with attention level and workload sensing

A method and apparatus for providing customized haptic feedback for a wearable device with sensors, a processor, memory, haptic outputs and optional communications module. Sensor information is used to provide the context for customizing the haptic feedback.

Smart wearable devices and methods for customized haptic feedback

Networked smart wearable devices and methods for dynamic power management of multiple wearable devices and the optimization of the network sensor data load through network control of the sensors in each wearable device is provided.

Growing community of inventors

Burlingame, CA, United States of America

Anton Kalachev