Memory Bank

Our Project has the potential to provide memory cues for people who struggle with episodic memory impairment (EMI). These memory cues enable the recollection of significant experiences, which is important for people with EMI to regain a sense in their lives. We figured out that the best memory cues

Project Title

Memory Bank

Project Area of Specialization

Internet of Things

Project Summary

Our Project has the potential to provide memory cues for people who struggle with episodic memory impairment (EMI). These memory cues enable the recollection of significant experiences, which is important for people with EMI to regain a sense in their lives. We figured out that the best memory cues need to be extracted and presented in a way that best supports episodic recollection. We describe the design of the system that captures photos, audio, and location information to facilitate the extraction of a salient summary consisting of good cues from the past experiences. The system presents the selected cues for review in a way that maximises the opportunities for the person with EMI to think deeply about these cues to trigger memory recollection on his own without burdening the caregiver. Our self-guided system will result in better memory retention and it will impose a smaller burden on the caregiver whereas the caregiver-guided approach will provide more opportunities for caregiver interaction.

Project Objectives

Upon cognizance of narrow aspects for making this project, we explored through the meticulous facts that over 26 million people around the globe fell prey to Alzheimer disease and this ratio could quadruple by the year 2050. EMI woefully would engulf frustrating, grueling and strenuous impact on the sufferers and eventually leading to a peculiar environment with distress. The patients with EMI would reluctantly reckon on their family members for caregiving sessions and blatantly accepting not to loiter on a gravy train. All this fuss would create depression and restlessness among the family members and the patient.

Project Implementation Method

We designed a system that follows a three-step process of capture, cue selection, and review to support recollection of episodic memories. Using a combination of sensors, the system passively records experiences of the user’s choosing. Then, the caregiver uses the Cue_selector application to construct a narrative of the experience by selecting the memory cues from the recorded data, with the help from content and context analysis, which is automated from the caregiver’s perspective. Finally, with the My_memory application, the caregiver-chosen cues are presented to the person with EMI in a way that maximises the opportunities for them to think deeply about the cues to remember associated details on their own without requiring repeated live help from their caregiver. Monitor functioning of equipment and make necessary modifications to ensure system operates in conformance with specifications. Write detailed functional specifications that document the hardware development process and support hardware introduction.

Benefits of the Project

• EMI imparts partisan influence on patients overly and we configured to dart over a solution which the technical market buys and consider unprecedented.
• Memory Bank promises for the reduction of burden on caregivers for patients yarned by unpredictable events and falls in long term memory.
• The caregiver would be alleviated by the incumbency loaded by when patient inquires for reminders. Verily there would be comprehensive approach followed where cue selector would filter out the event or remark by one tap only and explicitly continue their deteriorated memory loss.

Technical Details of Final Deliverable

Our current system will use wearable or embedded sensor technologies such as cameras, audio recorders, location trackers to record a user’s personal experiences simultaneously allowing people with EMI to automatically record, review, and thus regain an awareness of meaningful personal experiences in their lives to maintain their sense of self. The system uses a combination of location sensors and real-time voice annotation to identify potentially interesting scenes in a continuous video log. Our research showed that to be most effective in supporting memory, systems need to create a summary of the past experience log provides the most important information to present to the user in an engaging way. We describe how our system captures, selects, and presents past relative data to aid episodic recollection for people with EMI.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Health

Other Industries

Medical

Core Technology

Wearables and Implantables

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com