Abstract: A computer-implemented method for determining and mitigating open space health risk factors comprising processors configured for partitioning an open space area into sections based on Internet-of-Things (IoT) devices being present in each of the one or more sections, determining a risk factor score based on sensor data gathered from the one or more IoT devices, determining one or more events occurred in one or more of the sections based on the sensor data, updating the risk factor score for the one or more sections based on the one or more events, and responsive to updating the risk factor score, generating one or more action items to mitigate the events and reduce the risk factor score. The risk factor score includes a time weight based on the events that reduces the risk factor score over time.

Abstract: The present disclosure includes a finger exoskeleton including a plurality of joints and a plurality of sensors configured to measure rotation of at least some of the plurality of joints of the finger exoskeleton. The finger exoskeleton also includes a series elastic actuator comprising a spring element, the series elastic actuator configured to rotate at least one of the plurality of joints. The finger exoskeleton also includes a computing device configured to control operation of the series elastic actuator based on a torque of the at least one of the plurality of joints, the torque determined at least based on the spring element and rotation of the at least one of the plurality of joints. The present disclosure also includes associated methods and hand exoskeletons.

Abstract: The present disclosure includes a robotic exoskeleton comprising a back portion providing at least two degrees of freedom, two shoulder portions, each shoulder portion providing at least five degrees of freedom, two elbow portions, each elbow portion providing at least one degree of freedom, and two forearm portions, each forearm portion providing at least one degree of freedom. The present disclosure may also relate to associated robotic forearm joints and robotic shoulder joints.

Abstract: The present disclosure includes a finger exoskeleton including a plurality of joints and a plurality of sensors configured to measure rotation of at least some of the plurality of joints of the finger exoskeleton. The finger exoskeleton also includes a series elastic actuator comprising a spring element, the series elastic actuator configured to rotate at least one of the plurality of joints. The finger exoskeleton also includes a computing device configured to control operation of the series elastic actuator based on a torque of the at least one of the plurality of joints, the torque determined at least based on the spring element and rotation of the at least one of the plurality of joints. The present disclosure also includes associated methods and hand exoskeletons.

Abstract: A method, system and computer program product for performing cache sharing of enterprise data among peer mobile devices. An enterprise server receives a request from a mobile device for enterprise data. Upon identifying peer mobile device(s) that store the requested enterprise data, the enterprise server selects one of these peer mobile devices to provide the requested enterprise data based on an algorithm. A message is sent to the selected peer mobile device from the enterprise server to provide the requested enterprise data to the requesting mobile device, where the message includes connection details as well as a key that uniquely identifies the requested enterprise data that is stored in a cache of the peer mobile device. In this manner, the enterprise data may be shared in a robust and transparent manner while at the same time providing the enterprise control over the dissemination of the enterprise data.

Abstract: A method, system and computer program product for performing cache sharing of enterprise data among peer mobile devices. An enterprise server receives a request from a mobile device for enterprise data. Upon identifying peer mobile device(s) that store the requested enterprise data, the enterprise server selects one of these peer mobile devices to provide the requested enterprise data based on an algorithm. A message is sent to the selected peer mobile device from the enterprise server to provide the requested enterprise data to the requesting mobile device, where the message includes connection details as well as a key that uniquely identifies the requested enterprise data that is stored in a cache of the peer mobile device. In this manner, the enterprise data may be shared in a robust and transparent manner while at the same time providing the enterprise control over the dissemination of the enterprise data.