S.A.R.A.H.: The bipedal robot with machine learning step decision making

Herein, we describe a custom-made bipedal robot that uses electromagnets for performing movements as opposed to conventional DC motors. The robot uses machine learning to stabilize its self by taking steps. The results of several machine learning techniques for step decision are described. The robot does not use electric motors as actuators. As a result, it makes imprecise movements and is inherently unstable. To maintain stability, it must take steps. Classifiers are required to learn from users about when and which leg to move to maintain stability and locomotion. Classifiers such as Decision tree, Linear/Quadratic Discriminant, Support Vector Machine, K-Nearest Neighbor, and Neural Networks are trained and compared. Their performance/accuracy is noted

Does Participation in a Multi-Modal Activity-Based Program Impacts on Functional Recovery, and Quality of Life in Adults with Spinal Cord Injury?

The purpose of this study was to explore the relationships between relevant personal factors, participation in a multi-modal activity-based training program, and the program\u27s impact on an individual\u27s level of functional recovery, and overall quality of life in adults with Spinal Cord Injury (SCI). A descriptive, correlational design was performed on a secondary analysis dataset to conduct this study. Inferential statistics were performed with mixed ANOVA\u27s on measures of ASIA UEM and LEM scores, EuroQol, and SWLS to compare their means. The study proposed that participation in a multi-modal activity-based training program would be associated with greater functional recovery, less dependency on others for ADLs, fewer costly secondary diagnoses, and an improved quality of life. This study was undertaken to explore a relatively under-studied area. In the parent study a total of 29 cases were examined at a private outpatient clinic for patients with SCI in Southern California using a non-blinded, non-randomized controlled design over a 6-month period. These 29 cases were not evenly distributed, with the experimental group who participated in the multi-modal activity-based program having more cases (n = 21) than the control group (n = 8). Additionally, in the experimental group there were more men (n = 18) than women (n = 3) (Table 1). Within the experimental group, more than three-fourths constituted cervical site injury cases (n = 19) compared to thoracic site injury cases (n = 2) (Table 1). Further breaking down the level of SCI, participants with cervical site injuries were slightly older (µ = 35.74, sd = 14.13) compared to participants with thoracic site injuries (µ = 24.50, sd = 4.95)(Table 1). Given the small overall sample size, the skewed number of participants in the experimental group prevents any meaningful examination of group differences

Tune in: Berklee College of Music, Center for Music Technology, Boston, Massachusetts

The design proposal is a center for music technology for the Berklee College of Music. The technology of music will blend with the technology of design to create a new, different place. The concept is to develop generative proposals that break the norms of “everyday life” through the creation of digital tools and processes. The ability to “disrupt someone’s lifestyle” is not done out of negative intentions, but to inspire one to break out and experience something new and exciting. Digital technologies enhance the process to provide key information in order to design and construct