Cleveland State University

Wenbing Zhao

Disclosed is a system and method for processing data using blockchain technology. The system includes a memory having programmable instructions stored thereon that, when executed by a processor, cause the system to: authenticate one or more sensors in anticipation of receiving component data; receive component data, upon successful authentication; store the component data locally or to a cloud-based server and/or calculate a root value for the component data; store or embed the root value with the stored component data; condense the component data and link the condensed component data to the stored component data via the root value. The system further includes instructions to log the condensed data, including the root value, to a ledger, and to identify a tag or transaction id corresponding to the logging event for subsequent retrieval of the condensed data using the tag or transaction id.

Secure hierarchical processing using a secure ledger

Systems and methods to perform privacy-aware computer-vision-based human activity monitoring with real-time haptic feedback. The system and method described in this disclosure employing a registration process for consenting human subjects before their activities are monitored. The registration process involves the corroboration of human motion captured in different modalities, i.e., computer-vision-based via the programmable computer-vision-based motion sensor and accelerometer-based via the wearable device. The tracked human activities are assessed in real-time and upon detection of activities that violated predefined rules, haptic feedback is delivered in real-time to the tracked human subject via the wearable device worn by the caregiver.

Systems and methods for privacy-aware motion tracking with notification feedback

Systems and methods to perform privacy-aware computer-vision-based human activity monitoring with automatic registration are disclosed. To register for tracking, consenting human subjects wear beacons that emit a beacon signal. During a predefined timing window, beacon signals are detected and compared to a predefined signal-strength threshold and compared to the signal strength of other different beacon signals detected during the same timing window. At the end of the timing window, the strongest beacon signal above the threshold is selected for registration. The tracked human activities are assessed in real-time and upon detection of activities that violated predefined rules, feedback is delivered in real-time to the tracked human subject.

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Avon, OH, United States of America

Wenbing Zhao