Abstract: Various implementations include an assistive driving device including a base, a first post, a second post, a third post, and a selector. The first post is for receiving a portion of a palm of a hand of a user and has a proximal end and a distal end. The second post has a proximal end and a distal end. The third post has a proximal end and a distal end. The proximal ends of the first, second, and third posts are coupled to the base. The second post and the third post are positioned to receive a portion of an arm of the user. The selector is spaced apart from the first post and positioned such that the selector is actuatable with a dorsum of the hand of the user.

Abstract: Disclosed herein are methods and apparatus for making a determination whether a blood sample is, or is not, infected with a malaria parasite. The determination is made using a trained machine-learning (ML) algorithm. In some aspects, a microfluidic chip is used for the concentration of red blood cells infected with these parasites from uninfected red blood cells, the staining of the blood sample which differentially stains infected and uninfected red blood cells, and holds the sample of interest for imaging. The microfluidic chip is inserted into an optical subsystem that magnifies the image created from transmitted light microscopy. The magnified image is captured with a camera, and a trained ML algorithm assesses if the sample does or does not contain the parasite. Generally, the ML algorithm is executed on a portable computing device such as a smartphone.

Abstract: Various implementations include an assistive driving device including a base, a first post, a second post, a third post, and a selector. The first post is for receiving a portion of a palm of a hand of a user and has a proximal end and a distal end. The second post has a proximal end and a distal end. The third post has a proximal end and a distal end. The proximal ends of the first, second, and third posts are coupled to the base. The second post and the third post are positioned to receive a portion of an arm of the user. The selector is spaced apart from the first post and positioned such that the selector is actuatable with a dorsum of the hand of the user.

Abstract: An example portable apparatus for logging propulsion data associated with a manual mobility assistance device is described herein. The portable apparatus can include an accelerometer configured to detect acceleration of the manual mobility assistance device, an angular position sensor configured to detect rotation of a wheel of the manual mobility assistance device, and a controller operably coupled to the accelerometer and the angular position sensor. The controller can include a processor and a memory operably coupled to the processor, the memory having computer executable instructions stored thereon, that when executed by the processor, cause the processor to receive acceleration data detected by the accelerometer and angular position data detected by the angular position sensor, and store the acceleration data and the angular position data in the memory. The accelerometer, the angular position sensor, and the controller can be configured to removably couple to the manual mobility assistance device.