Integration of graduate employability skills through industry outsourced CDIO project

Engineering curricula in higher education should be aligned with the current and future requirements of the industry to ensure industry-ready graduates. In the UK GOV HE education and professional accredited bodies, it is required to embed graduate attributes into the engineering curriculum. Although the CDIO-based approach provides a platform where students can develop these skills, there is still a gap between students’ skills and industry compatibility due to a lack of interaction with industry. Our solution is to embed industry outsourced CDIO projects in modules across the engineering course curriculum. These modules provide students not only the opportunity to develop their engineering technical skills but also their employability skills for actual industrial environment. At our university, the academic team have adopted a robust 7-stage approach in consultation and collaboration with industry to identify and implement industry-sourced CDIO projects in the curriculum. Based on the nature and complexity of the project, the CDIO projects can be integrated into relevant modules at appropriate academic levels. For example, a design-related project can be integrated into the first-year module whereas complex projects are allocated to final-year students. The final objectives of the CDIO projects are aligned with the learning outcomes of the corresponding modules and should be reflected in the module assessments. In this paper, the approach and outcome of one of our industrial CDIO projects outsourced by eXroid (a biomedical company in the UK) have been described. During the period, students followed the four stages of CDIO framework. The performance of the students was satisfactory as 81% of the students passed the module on their first attempt and the average mark was 49.9. The feedback received from eXroid personnel and students regarding the project execution and outcome was outstanding. Students have also developed several industry-oriented technical and soft skills while executing the projects

A novel hardware approach to integrating active and passive rehabilitation in a single exoskeleton

The proposed exoskeleton is based on the elbow joint where patients can have active and passive rehabilitation in a single structure without changing its configuration. The structural formation of the exoskeleton has been designed in such a way that it offers two working regions namely; actuator based active rehabilitation in the first phase and passive rehabilitation in the second phase. The solution for integrating these two phases has been implemented using an innovative passive locking mechanism which uses a spring-based system for transformation. The stiffness of the spring is utilized to switch between active and passive rehabilitation regions. Besides this there are some other advantages this exoskeleton offers such as reduction of the actuation torque as well as ease of control. The paper is divided into three parts: the first part describes the existing designs, the second part gives an overview of the developed mechanism with structural description and the last part provides the solution with technical specification

Design Proposal for a Portable Elbow Exoskeleton

Exoskeleton based rehabilitation for post-stroke recovery is being aggressively pursued due to unavailability of adequate number of caregivers and huge investment for the manual treatment [1]. The structural framework for providing different training exercises is not similar for all exoskeletons and there is no standardized protocol for rehabilitation following stroke [2]. Various approaches have been undertaken to come up with customized exoskeleton design for implementing a specific type of exercise. Though a few exoskeletons have proved to be beneficial in terms of clinical outcomes, there is still a long way to go before a useful rehabilitation device becomes acceptable to the users. After reviewing the 46 exoskeletons (commercial or prototypes) [3], two key requirements can be considered for the design of an exoskeleton; the structural parameter which decides the size, weight and the ease of control and the other is the nature of rehabilitation therapy which defines the type and intensity of the exercises performed during training

A mechanism for elbow exoskeleton for customised training.

It is well proven that repetitive extensive training consisting of active and passive therapy is effective for patients suffering from neuromuscular deficits. The level of difficulty in rehabilitation should be increased with time to improve the neurological muscle functions. A portable elbow exoskeleton has been designed that will meet these requirements and potentially offers superior outcomes than human-assisted training. The proposed exoskeleton can provide both active and passive rehabilitation in a single structure without changing its configuration. The idea is to offer three levels of rehabilitation; namely active, passive and stiffness control in a single device using a single actuator. The mechanism also provides higher torque to weight ratio making it an energy efficient mechanism

Assessment of joint parameters in a Kinect sensor based rehabilitation game

Copyright © 2019 ASME. A Kinect sensor based basketball game is developed for delivering post-stroke exercises in association with a newly developed elbow exoskeleton. Few interesting features such as audio-visual feedback and scoring have been added to the game platform to enhance patient’s engagement during exercises. After playing the game, the performance score has been calculated based on their reachable points and reaching time to measure their current health conditions. During exercises, joint parameters are measured using the motion capture technique of Kinect sensor. The measurement accuracy of Kinect sensor is validated by two comparative studies where two healthy subjects were asked to move elbow joint in front of Kinect sensor wearing the developed elbow exoskeleton. In the first study, the joint information collected from Kinect sensor was compared with the exoskeleton based sensor. In the next study, the length of upperarm and forearm measured by Kinect were compared with the standard anthropometric data. The measurement errors between Kinect and exoskeleton are turned out to be in the acceptable range; 1% for subject 1 and 0.44% for subject 2 in case of joint angle; 5.55% and 3.58% for subject 1 and subject 2 respectively in case of joint torque. The average errors of Kinect measurement as compared to the anthropometric data of the two subjects are 16.52% for upperarm length and 9.87% for forearm length. It shows that Kinect sensor can measure the activity of joint movement with a minimum margin of error

Sandpile model on an optimized scale-free network on Euclidean space

Deterministic sandpile models are studied on a cost optimized Barab\'asi-Albert (BA) scale-free network whose nodes are the sites of a square lattice. For the optimized BA network, the sandpile model has the same critical behaviour as the BTW sandpile, whereas for the un-optimized BA network the critical behaviour is mean-field like.Comment: Five pages, four figure

Self-organisation to criticality in a system without conservation law

We numerically investigate the approach to the stationary state in the nonconservative Olami-Feder-Christensen (OFC) model for earthquakes. Starting from initially random configurations, we monitor the average earthquake size in different portions of the system as a function of time (the time is defined as the input energy per site in the system). We find that the process of self-organisation develops from the boundaries of the system and it is controlled by a dynamical critical exponent z~1.3 that appears to be universal over a range of dissipation levels of the local dynamics. We show moreover that the transient time of the system $t_{tr}$ scales with system size L as $t_{tr} \sim L^z$. We argue that the (non-trivial) scaling of the transient time in the OFC model is associated to the establishment of long-range spatial correlations in the steady state.Comment: 10 pages, 6 figures; accepted for publication in Journal of Physics