Wearable haptic/Braille guidance system for the visually impaired

MIT researchers from their CSAIL (Computer Science and Artificial Intelligence Laboratory) unit have developed a system that is designed to aid the visually impaired in accurately navigating a room, with or without the assistance of a cane. It consists of a 3-D camera worn on the abdomen, a belt that has vibrational (haptic) motors, and an electronically controlled Braille interface worn on the side of the belt. The camera is worn on the chest as the optimum and least interfering body location. The pictures taken are analyzed by algorithms that quickly identify surfaces and their orientations from the planes in the photo, including whether or not a chair is unoccupied. The belt sends different frequency, intensity, and duration tactile vibrations to the wearer to help identify nearness to obstacles or to find a chair. The Braille interface also confirms the object and location through key initials (‘c’ for chair, ‘t’ for table) and directional arrows. According to the MIT study, “In tests, the chair-finding system reduced subjects’ contacts with objects other than the chairs they sought by 80 percent, and the navigation system reduced the number of cane collisions with people loitering around a hallway by 86 percent.” MIT News, Mashable, ‘Wearable Blind Navigation’ paper Hat tip to Toni Bunting of TASK Ltd.

 

A stride ahead in gait analysis for detecting potential health issues

[grow_thumb image=”https://telecareaware.com/wp-content/uploads/2017/05/WiGait-wirelessly-measures-walking-speed-MIT-00_0.png” thumb_width=”175″ /]Readers experienced in senior healthcare know that changes in gait can be predictors or a proxy for negative change in physical or mental status, for instance when walking becomes slow or unsteady and the risk of falling rises. We’re familiar with various remote monitoring approaches such as pads, sensor arrays, camera systems such as the VICON tracker, worn sensors, and Fitbits but none so far have proven workable, widespread, or particularly accurate. A research group at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have designed a system using wireless signals which can measure the walking speed of multiple people with 95 to 99 percent accuracy, the same as clinical measurement and VICON. The WiGait device is the size of a small painting and emits signals at about the level of a smartphone. It analyzes reflected signals off the body and can differentiate through algorithms the type of movement, e.g. walking versus brushing teeth. It can also gauge stride length, since changes in that may indicate progression in diseases such as Parkinson’s. Since the WiGait can be used for longitudinal tracking, gait changes can be further correlated with disease state with the intent of avoiding hospitalization. The researchers built off of previous work on WiTrack, which used signals to track behaviors from breathing and falling to specific emotions.  MIT NewsPaper: Extracting Gait Velocity and Stride Length from Surrounding Radio Signals