Abstract: An electronic device such as a pair of headphones may be configured to be worn on a head of a user. The headphones may have a headband and earcups that are coupled to the headband. The headband may have a frame and a headband frame cover that is removably attached to the frame. The cover may have protrusions, may be inflated using a pump, may include a battery and other components, and may include sensors. An earcup movement synchronization mechanism may be used to synchronize movement of a left earcup with a right earcup. A torsion spring with a stop mechanisms or other bend limiter may be configured to prevent overbending of the headband.

Abstract: A stretchable fabric signal path may include a conductive strand located between first and second outer fabric layers. The outer fabric layers may be formed from intertwined strands of elastic material. The conductive strand may have a wavy shape to accommodate stretching of the stretchable fabric signal path. First and second inner fabric layers may be located between the outer stretchable fabric layers. The inner fabric layers may be formed from intertwined strands of non-elastic material. The inner fabric layers may have strands that are intertwined with the outer fabric layers to serve as anchor points for maintaining the shape of the conductive strand as the stretchable fabric signal path expands and contracts. The outer fabric layers and inner fabric layers may be woven. The conductive strand may convey electrical signals such as audio signals, power signals, data signals, or other suitable signals.

Abstract: An implicit bias monitoring system is provided. The system receives sensor data including video and audio that are captured during an interaction between a first individual and a second individual. The system determines a set of attributes associated with the interaction based on the received sensor data, the set of attributes comprising at least one of race and gender of the second individual. The system detects an implicit bias based on a combination of the determined set of attributes and a bias profile. The system generates an alert based on the detected implicit bias.

Abstract: An implicit bias monitoring system is provided. The system receives sensor data including video and audio that are captured during an interaction between a first individual and a second individual. The system determines a set of attributes associated with the interaction based on the received sensor data, the set of attributes comprising at least one of race and gender of the second individual. The system detects an implicit bias based on a combination of the determined set of attributes and a bias profile. The system generates an alert based on the detected implicit bias.