Page 101 - R2017 Final_BE Biomedical Curriculum and Syllabus - REC
P. 101

Department of BME, REC

               immersive,  immersive-VR  devices-  Stereo  headphones,  HMDs,  controllers,  haptic  gears,  ETDs,
                high-performance computer hardware, content creation & VR engines(Maya, Unreal, 3DS Max,
               Cinema4D, Blender, Softimage, Unity, String Ray, Critech, AR Toolkit)

               UNIT II        VR ON THE WEB & VR ON THE MOBILE                                            10
               JS-pros  and  cons-building  blocks  (WebVR,  WebGL,  Three.js,  device  orientation  events)-
               frameworks  (A-frame,  React  VR)-Google  VR  for  Android-Scripts,  mobile  device  configuration,
               building  to  android-cameras  and  interaction-teleporting-spatial  audio-Assessing  human
               parameters-device development and drivers - Design Haptics

               UNIT III      FUTURE OF VR                                                                 9
               Realization  -adoption -virtual  retina  displays-Medical  Applications  with  VR-Multi-sensory  -
               geoscience  VR- VR as a design tool-standards- Case studies-Medical App development

                                                                                        TOTAL: 30 PERIODS

               OUTCOMES:
               On completion of the course students will be able to
                   •  Distinguish between VR with other similar technologies
                   •  Identify the various technologies used in VR
                   •  Apply VR techniques for various real time applications

               TEXT BOOKS:
                  1.  Jason Jerald, “The VR Book — Human Centered Design for Virtual Reality”, Association for
                      Computing Machinery and Morgan & Claypool New York, NY, USA © 2016
                  2.  Dieter  Schmalstieg  &  Tobias  Hollerer,  “Augmented  Reality:  Principles  and  Practice”,
                      Addison-Wesley Educational Publishers Inc, New Jersey, United States, 2016.

               REFERENCES:
                  1.  Steve  Aukstakalnis,  “Practical  Augmented  Reality:  A  Guide  to  the  Technologies,
                                                                                                            st
                      Applications,  and  Human  Factors  for  AR  and  VR”,  ,  Addison-Wesley  Professional;  1
                      edition 2016
                  2.  Robert  Scoble  &  Shel  Israel,  “The  Fourth  Transformation:  How  Augmented  Reality  &
                                                                                          st
                      Artificial Intelligence Will Change Everything”, Patrick Brewster Press; 1  edition, 2016.
                  3.  Tony Parisi, “Learning Virtual Reality: Developing Immersive Experiences and Applications
                                                                    st
                      for Desktop, Web, and Mobile”, O'Reilly Media; 1  edition, 2015.



                BM17E27                             WEARABLE SYSTEMS                              L  T  P  C
                                                                                                  2  0  0  2
               OBJECTIVES:
                   •  Study about sensors and its application in wearable systems
                   •  Learn about applications of wearable systems

               UNIT I        SENSORS AND SIGNAL PROCESSING                                                10
               Need for wearable systems, Sensors for wearable systems-Inertia movement sensors, Respiration
               activity  sensor,  Inductive  plethysmography,  Impedance  plethysmography,  pneumography,
               Wearable ground reaction force sensor, GSR, Radiant thermal sensor, Wearable motion sensors,
               CMOS –Based Biosensors, Wearability issues -physical shape and placement of sensor, Technical
               challenges - sensor design, signal acquisition, light weight signal processing.


               Curriculum and Syllabus | B.E Biomedical Engineering | R 2017                      Page 101
   96   97   98   99   100   101   102   103   104   105