User-configurable in-home assistive monitoring aka "Power to the people" Possible fall detected Frank Vahid, UCR.

Slides:

Advertisements

Similar presentations

No Purpose – No Data: Goal-Oriented Access Control for Ambient Assisted Living Università delgi Studi di Trento Fabio Massacci, Viet Hung Nguyen, Ayda.

Advertisements

By: Amrita Poddar (064BCT504) Kapila Rajbhandari(063BCT513) Ritu Kandoi(064BCT528)

Challenges and Tradeoffs in Activity and Sleep Monitoring Blaine Price.

Feature Extractors for Integration of Cameras and Sensors during End-User Programming of Assistive Monitoring Systems Alex Edgcomb Frank Vahid University.

Introduction to Computers Section 10A. home Presentation Programs Provide powerful design tools to outline, create, edit, arrange and display complex.

Automated Fall Detection on Privacy-Enhanced Video Alex Edgcomb Frank Vahid University of California, Riverside Department of Computer Science Copyright.

Department of Electrical and Computer Engineering He Zhou Hui Zheng William Mai Xiang Guo Advisor: Professor Patrick Kelly ASLLENGE.

Stay Kinected: A Home Monitoring System Combining Safety and Comfort Abstract The purpose of this project is to use the Microsoft Kinect sensor to implement.

A) 80 b) 53 c) 13 d) x 2 = : 10 = 3, x 3 = 309.

Click to edit Master title style Ramsey Baker Kunal Parbadia Radford Parker Rohit Sahay David Salazar SecurityCam Automated Security System for Boat Owners.

Urban Sensing Jonathan Yang UCLA CS194 Fall 2007 Jonathan Yang UCLA CS194 Fall 2007.

PRIVACY, TRUST, and SECURITY Bharat Bhargava (moderator)

Eagle Vision 24/7 security system Day - Night - Dark.

Introducing SysAid 5.0 New Features. /102 Content New Graphic User Interface Satisfaction Survey vPro Support Various Remote Control Support Backup database.

OpStor - A multi vendor storage resource management and capacity forecasting software.

Advanced Occupancy System Mitch Williams Adam Winter Shane Woolwine.

Smart Environments for Occupancy Sensing and Services Paper by Pirttikangas, Tobe, and Thepvilojanapong Presented by Alan Kelly December 7, 2011.

Park House School © P.Marshman All Rights Reserved Building a Smarter Planet Lesson 1: Sensor fundamentals.

 eBlock is an electronics block.  It can define as embedded system building block used in sensor based system.  Enable non-experts to build basic small-scale.

LOD Surveillance System Jamie Creech Software Engineer.

Human Gesture Recognition Using Kinect Camera Presented by Carolina Vettorazzo and Diego Santo Orasa Patsadu, Chakarida Nukoolkit and Bunthit Watanapa.

The Eos-Explorer CHENRAN YE IMDE ECE 4665/5666 Fall 2011.

Daniel Frank Mechanical Engineering Student Intelligent Machine Design Laboratory EEL 5666 Fall 2012 Instructors: Drs. Antonio Arroyo and Eric Schwartz.

1 Modeling Needs and Considerations for Energy Efficiency Ex Ante and Ex Post Savings Estimates Workshop: Energy Modeling Tools and their Applications.

Copyright 2014 Open Networking User Group. All Rights Reserved Confidential Not For Distribution Six Steps To A Common Open Networking Ecosystem Common.

Students: Anurag Anjaria, Charles Hansen, Jin Bai, Mai Kanchanabal Professors: Dr. Edward J. Delp, Dr. Yung-Hsiang Lu CAM 2 Continuous Analysis of Many.

Click to edit Master title style Ramsey Baker Kunal Parbadia Radford Parker Rohit Sahay David Salazar SecurityCam Single Modular Wi-Fi Enabled Security.

1 Location and Activity Tracking with the Cloud Taj Morton, Alex Weeks, Samuel House, Patrick Chiang, and Chris Scaffidi School of Electrical Engineering.

D-Link Cloud Revolutions

Adding SubtractingMultiplyingDividingMiscellaneous.

April/ 2010 SonotaCo Network 1 MODWG #03 contents of SonotaCo 17 th April 2010 How is the SonotaCo Network working ? 14:00-14:30 -- Processing data flow.

NDSU Personal Safety and Security Assist. Project Introduction Leverages: –People and Partnerships –Philosophies –Centralized and Integrated Systems.

Students: Aiman Md Uslim, Jin Bai, Sam Yellin, Laolu Peters Professors: Dr. Yung-Hsiang Lu CAM 2 Continuous Analysis of Many CAMeras The Problem Currently.

ASSISTIVE TECHNOLOGY & OLDER PEOPLE Michael O’ Sullivan.

Cosc 4735 Primer: Marshmallow Changes and new APIs in android 6.0 (api 23)

InfoTrac/PowerSearch Interface Enhancements 2011.

Sensor Network and Smart Environment Research (SeNSER) Manohar Mareboyana Bo Yang.

Distance Estimation Ohad Eliyahoo And Ori Zakin. Introduction Current range estimation techniques require use of an active device such as a laser or radar.

Tom Lovett and Eamonn O’Neill Department of Computer Science University of Bath Bath BA2 7AY UK +44 (0) Social sensing:

©2016, Cognizant An Internet of Things (IoT) solution to improve patient safety Patient Caring Service.

Smart Microcontroller- Based Blind Guidance System By Farzana Khan Section : 1 ID : CSE Department 1.

Seethru Range of Home Surveillance Systems

Internet of Things and Smart Cities

Trophy Cam™ HD Wireless

Assistive Automation Mailbox.

Trophy Cam™ HD Wireless

Designing a DM Classroom

What Does it Look Like in Grades Kindergarten-2nd ?

What’s new and What’s coming Guy Arazi: Director of Products

Virtual Integrated Domain Awareness (VIDA) Experiment

My Robot JIBO Mr. Mejia.

Review on Smart Solutions for People with Visual Impairment

1 مفهوم ارتباطات ارتباطات معادل واژه communications ) ميباشد(. ارتباطات يك فرايند اجتماعي و دو طرفه است كه در آن اطلاعات مبادله شده و نوعي تفاهم بين طرفهاي.

Virtual Imaging Peripheral for Enhanced Reality

Use of Lightning Data for Electricity Transmission Operations

Student’s Name with USN No.

Vision on the future development of R4BP 3

Securing Home IoT Environments with Attribute-Based Access Control

INTERNET PORNOGRAPHY.

Progress Seminar 권순빈.

XProtect R New features

When you want to protect what’s important

Adding with 9’s.

Adding with 10’s.

Airport Parking Space Navigation

Adding ____ + 10.

If we look around us, we will see angles everywhere.

LANGUAGE EDUCATION.

Higher School of Economics , Moscow, 2016

Network of Business Incubation Centres

Presentation transcript:

User-configurable in-home assistive monitoring aka "Power to the people" Possible fall detected Frank Vahid, UCR

User-configured sensors http://www.youtube.com/watch?v=WkRWhq7FAcA

User-configured cameras, viewing, sharing http://www.youtube.com/watch?v=CsI4prVikgA

Graphical language for user configuration of notifications Success http://www.youtube.com/watch?v=eUM2KXAN0Ro

Video: What about privacy? www.youtube.com/watch?v=BlYLlDclZ0Q

Fall detection accuracy Provide sufficient privacy? Fall detection accuracy Yes No n/a

Current research challenges Configurable and/or ultra-efficient algorithms (in-cam or in-block) for Privacy-enhancements Categorization of falls, daily activities, etc. Sound/speech processing Algorithms that adapt to: Num cams, cam angles, added sensors, privacy enhancements, user requirements, … Supporting configuration tools