Search results
(1 - 13 of 13)
- Title
- Planning for Human Implantation of a Cortical Visual Prosthesis (sequence unknown), IPRO 334 - Deliverables
- Creator
- Bern, David, Chen, Shanyl, Deroo, Mary, Gorski, David, Kelly, Thomas, Leasenby, Alex, Li, Zhi, Pyrkh, Hanna, Subhani, Maham, Taneja, Aanchal
- Date
- 2009-12
- Description
-
The Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human...
Show moreThe Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human visual cortex, coordinated temporal-spatial image information can be artificially communicated to the human visual cortex in the form of electrical currents, acting as a sensory substitute for normal vision.
Sponsorship: IIT Laboratory of Neural Prosthetic Research
Deliverables for IPRO 334: Planning for Human Implantation of a Cortical Visual Prosthesis for the fall 2009 semester
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- Title
- Planning for Human Implantation of a Cortical Visual Prosthesis (sequence unknown), IPRO 334 - Deliverables: IPRO 334 IPRO Day Presentation F09
- Creator
- Bern, David, Chen, Shanyl, Deroo, Mary, Gorski, David, Kelly, Thomas, Leasenby, Alex, Li, Zhi, Pyrkh, Hanna, Subhani, Maham, Taneja, Aanchal
- Date
- 2009-12
- Description
-
The Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human...
Show moreThe Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human visual cortex, coordinated temporal-spatial image information can be artificially communicated to the human visual cortex in the form of electrical currents, acting as a sensory substitute for normal vision.
Sponsorship: IIT Laboratory of Neural Prosthetic Research
Deliverables for IPRO 334: Planning for Human Implantation of a Cortical Visual Prosthesis for the fall 2009 semester
Show less
- Title
- Planning for Human Implantation of a Cortical Visual Prosthesis (sequence unknown), IPRO 334 - Deliverables: IPRO 334 Final Report F09
- Creator
- Bern, David, Chen, Shanyl, Deroo, Mary, Gorski, David, Kelly, Thomas, Leasenby, Alex, Li, Zhi, Pyrkh, Hanna, Subhani, Maham, Taneja, Aanchal
- Date
- 2009-12
- Description
-
The Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human...
Show moreThe Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human visual cortex, coordinated temporal-spatial image information can be artificially communicated to the human visual cortex in the form of electrical currents, acting as a sensory substitute for normal vision.
Sponsorship: IIT Laboratory of Neural Prosthetic Research
Deliverables for IPRO 334: Planning for Human Implantation of a Cortical Visual Prosthesis for the fall 2009 semester
Show less
- Title
- Planning for Human Implantation of a Cortical Visual Prosthesis (sequence unknown), IPRO 334 - Deliverables: IPRO 334 Poster F09
- Creator
- Bern, David, Chen, Shanyl, Deroo, Mary, Gorski, David, Kelly, Thomas, Leasenby, Alex, Li, Zhi, Pyrkh, Hanna, Subhani, Maham, Taneja, Aanchal
- Date
- 2009-12
- Description
-
The Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human...
Show moreThe Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human visual cortex, coordinated temporal-spatial image information can be artificially communicated to the human visual cortex in the form of electrical currents, acting as a sensory substitute for normal vision.
Sponsorship: IIT Laboratory of Neural Prosthetic Research
Deliverables for IPRO 334: Planning for Human Implantation of a Cortical Visual Prosthesis for the fall 2009 semester
Show less
- Title
- Planning for Human Implantation of a Cortical Visual Prosthesis (sequence unknown), IPRO 334 - Deliverables: IPRO 334 Brochure F09
- Creator
- Bern, David, Chen, Shanyl, Deroo, Mary, Gorski, David, Kelly, Thomas, Leasenby, Alex, Li, Zhi, Pyrkh, Hanna, Subhani, Maham, Taneja, Aanchal
- Date
- 2009-12
- Description
-
The Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human...
Show moreThe Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human visual cortex, coordinated temporal-spatial image information can be artificially communicated to the human visual cortex in the form of electrical currents, acting as a sensory substitute for normal vision.
Sponsorship: IIT Laboratory of Neural Prosthetic Research
Deliverables for IPRO 334: Planning for Human Implantation of a Cortical Visual Prosthesis for the fall 2009 semester
Show less
- Title
- Planning for Human Implantation of a Cortical Visual Prosthesis (sequence unknown), IPRO 334 - Deliverables: IPRO 334 Midterm Presentation F09
- Creator
- Bern, David, Chen, Shanyl, Deroo, Mary, Gorski, David, Kelly, Thomas, Leasenby, Alex, Li, Zhi, Pyrkh, Hanna, Subhani, Maham, Taneja, Aanchal
- Date
- 2009-12
- Description
-
The Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human...
Show moreThe Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human visual cortex, coordinated temporal-spatial image information can be artificially communicated to the human visual cortex in the form of electrical currents, acting as a sensory substitute for normal vision.
Sponsorship: IIT Laboratory of Neural Prosthetic Research
Deliverables for IPRO 334: Planning for Human Implantation of a Cortical Visual Prosthesis for the fall 2009 semester
Show less
- Title
- Planning for Human Implantation of a Cortical Visual Prosthesis (sequence unknown), IPRO 334 - Deliverables: IPRO 334 Project Plan F09
- Creator
- Bern, David, Chen, Shanyl, Deroo, Mary, Gorski, David, Kelly, Thomas, Leasenby, Alex, Li, Zhi, Pyrkh, Hanna, Subhani, Maham, Taneja, Aanchal
- Date
- 2009-12
- Description
-
The Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human...
Show moreThe Intracortical Visual Prosthesis is based upon that concept that by implanting a large number of subminiature electrodes within the human visual cortex, coordinated temporal-spatial image information can be artificially communicated to the human visual cortex in the form of electrical currents, acting as a sensory substitute for normal vision.
Sponsorship: IIT Laboratory of Neural Prosthetic Research
Deliverables for IPRO 334: Planning for Human Implantation of a Cortical Visual Prosthesis for the fall 2009 semester
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- Title
- Kalleidos (Spring 2011) IPRO 303
- Creator
- Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
- Date
- 2011, 2011-05
- Description
-
“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B] Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…) Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
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- Title
- Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303MidTermPresentationSp11
- Creator
- Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
- Date
- 2011, 2011-05
- Description
-
“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B] Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…) Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
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- Title
- Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303ProjectPlanSp11_redacted
- Creator
- Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
- Date
- 2011, 2011-05
- Description
-
“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B] Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…) Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
Show less
- Title
- Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303BrochureSp11
- Creator
- Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
- Date
- 2011, 2011-05
- Description
-
“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B] Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…) Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
Show less
- Title
- Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303PosterSp11
- Creator
- Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
- Date
- 2011, 2011-05
- Description
-
“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B] Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…) Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
Show less
- Title
- Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303FinalReportSp11_redacted
- Creator
- Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
- Date
- 2011, 2011-05
- Description
-
“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B] Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…) Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
Show less