Automated Estimation of Elder Activity Levels from Anonymized Video Data

Significant declines in quality of life for elders in assisted living communities are typically triggered by health events. Given the necessary information, such events can often be predicted, and thus, be avoided or reduced in severity. Statistics on activities of daily living and activity level over an extended period of time provide important data for functional assessment and health prediction. However, persistent activity monitoring and continuous collection of this type of data is extremely labor-intensive, time-consuming, and costly. In this work, we propose a method for automated estimation of activity levels based on silhouettes segmented from video data, and subsequent extraction of higher order information from the silhouettes. By building a regression model from this higher order information, our system can automatically estimate elder activity levels

The Effect of Experiential Education on Pilots\u27 VFR into IMC Decision-Making

In aviation, safety is always a primary consideration, and this is especially true during a pilot’s flight training to instill that safety mentality. However, this means that pilots are restricted by safety policies from encountering difficult weather situations during their training, which could, potentially, improve their weather decision-making skills for avoiding future hazardous weather encounters. Thirty-six general aviation pilots of varying instrument flight experience (IF) were allocated, using stratified random sampling based on their IF, to one of three groups, a control group and two educational treatment intervention groups. The educational treatment interventions were designed to improve the participant’s ability in recognizing deteriorating weather (reducing visibility) conditions, to prevent flying from visual flight rules (VFR) into instrument meteorological conditions (IMC) by the use of experiential education. Intervention one was web-based only and intervention two was web and personal computer (PC) simulator based. Each pilot flew a simulated flight along a fjord in Alaska under visual flight rules in deteriorating visual weather that became instrument conditions. Type of intervention and experience-related demographic factors were analyzed to determine what factors contributed to safe weather-related decisions. Type of educational treatment intervention was found to be the only statistically significant demographic predictor of safe performance. Pilots who received the web-based only intervention were better able to assess deteriorating visibility and avoid instrument weather. Implications of this study and opportunities for future research are discussed

Technology for Successful Aging

With our partners at the University of Virginia we are developing a system of sensors, to monitor the activity of seniors in their residences. We measure motion, footfalls, sleep and restlessness, we have stove sensors and sensing mats, all connected wirelessly to a computer which performs an initial evaluation and data transfer to a secure server for further study. Based upon the monitor data we will implement an intervention to ameliorate functional decline. Focus group studies determine the attitudes, concerns and impressions of the residents and staff. We find that senior's attitude to technology is healthy and they will try helpful approaches. In addition to the statistical comparisons, we model the data using hidden Markov models, integrate or fuse the monitor data with video images, and reason about behavior using fuzzy logic. The results of this work will additionally reduce the workload on caregivers, foster communication between residents and family,and give these seniors independence.The authors are grateful for the support from NSF ITR grant IIS-0428420 and the U.S. Administration on Aging, under grant 90AM3013

A Real-time System for In-home Activity Monitoring of Elders

In this paper, we propose a real-time system for in-home activity monitoring and functional assessment for elder care. We describe the development of the whole system which could be used to assist the independent living of elders and improve the efficiency of eldercare practice. With this system, data is collected, silhouettes extracted, features further analyzed and visualized into graphs from which eldercare professionals are able to understand massive video monitoring data within a short period of time. Our experimental results demonstrate that the proposed system is efficient in indoor elder activities monitoring and easily utilized by eldercare professionals.This work was supported in part by National Institutes of Health under grant 1R21AG026412-01A2

Anonymized Video Analysis Methods and Systems

Methods and systems for anonymized video analysis are described. In one embodiment, a first silhouette image of a person in a living unit may be accessed. The first silhouette image may be based on a first video signal recorded by a first video camera. A second silhouette image of the person in the living unit may be accessed. The second silhouette image may be of a different view of the person than the first silhouette image. The second silhouette image may be based on a second video signal recorded by a second video camera. A three-dimensional model of the person in voxel space may be generated based on the first silhouette image, the second silhouette image, and viewing conditions of the first video camera and the second video camera. In some embodiments, information on falls, gait parameters, and other movements of the person living unit are determined. Additional methods and systems are disclosed

VFR-into-IMC Accident Trends: Perceptions of Deficiencies in Training

Pilots who operate under visual flight rules (VFR) and in visual meteorological conditions, who then continue flight into instrument meteorological conditions (IMC), remain as one of the leading causes of fatal aircraft accidents in general aviation. This paper examines past and current research initiatives, in seeking to identify causal factors and gaps in training that lead to VFR-into-IMC aircraft accidents, using a mixed methods approach. The Aircraft Owners and Pilots Association Air Safety Institute database and the National Transportation Safety Board database search engines were used to identify accident reports associated with VFR flight into IMC/deteriorating weather conditions for a 10-year time period (2003 to 2012). A national survey was also conducted to gain deeper insight into the self-identified training deficiencies of pilots. There is evidence that situational awareness is linked to decision-making, and there is a lack of proper training with regards to weather and weather technology concepts, making it difficult for pilots to gain these knowledge areas, skills, and abilities throughout their initial flight training and subsequent experience

TigerPlace: An Innovative Educational and Research Environment

This item also falls under AAAI copyright. For more information, please visit http://www.aaai.org/ojs/index.php/aimagazine/indexA one of a kind project based on the concept of aging in place is in progress at the University of Missouri (MU). This project required legislation in 1999 and 2001 to be fully realized. A specialized home health agency was developed by the MU Sinclair School of Nursing specifically to help older adults age in place. In 2004, TigerPlace, a specially designed independent living environment, was built by Americare Corporation of Sikeston, Missouri, a leading long-term care company. TigerPlace was developed as a true partnership between the University of Missouri and Americare Corporation. This partnership allows for unique student and research projects.This research was supported by the U.S. Administration on Aging grant #90AM3013 and National Science Foundation ITR grants IIS-0428420 and IIS-0703692

Neglecting the Importance of the Decision Making and Care Regimes of Personal Support Workers: A Critique of Standardization of Care Planning Through the RAI/MDS

Purpose: The Resident Assessment Instrument–Minimum Data Set (RAI/MDS) is an interdisciplinary standardized process that informs care plan development in nursing homes. This standardized process has failed to consistently result in individualized care planning, which may suggest problems with content and planning integrity. We examined the decision making and care practices of personal support workers (PSWs) in relation to the RAI/MDS standardized process. Design and Methods: This qualitative study utilized focus groups and semi-structured interviews with PSWs (n = 26) and supervisors (n = 9) in two nursing homes in central Canada. Results: PSWs evidenced unique occupational contributions to assessment via proximal familiarity and biographical information as well as to individualizing care by empathetically linking their own bodily experiences and forging bonds of fictive kinship with residents. These contributions were neither captured by RAI/MDS categories nor relayed to the interdisciplinary team. Causal factors for PSW exclusion included computerized records, low status, and poor interprofessional collaboration. Intraprofessional collaboration by PSWs aimed to compensate for exclusion and to individualize care. Implications: Exclusive institutional reliance on the RAI/MDS undermines quality care because it fails to capture residents’ preferences and excludes input by PSWs. Recommendations include incorporating PSW knowledge in care planning and documentation and examining PSWs’ nascent occupational identity and their role as interprofessional brokers in long-term care

Data for improvement and clinical excellence: protocol for an audit with feedback intervention in long-term care

<p>Abstract</p> <p>Background</p> <p>There is considerable evidence about the effectiveness of audit coupled with feedback, although few audit with feedback interventions have been conducted in long-term care (LTC) settings to date. In general, the effects have been found to be modest at best, although in settings where there has been little history of audit and feedback, the effects may be greater, at least initially. The primary purpose of the Data for Improvement and Clinical Excellence (DICE) Long-Term Care project is to assess the effects of an audit with feedback intervention delivered monthly over 13 months in four LTC facilities. The research questions we addressed are:</p> <p indent="1">1. What effects do feedback reports have on processes and outcomes over time?</p> <p indent="1">2. How do different provider groups in LTC and home care respond to feedback reports based on data targeted at improving quality of care?</p> <p>Methods/design</p> <p>The research team conducting this study comprises researchers and decision makers in continuing care in the province of Alberta, Canada. The intervention consists of monthly feedback reports in nine LTC units in four facilities in Edmonton, Alberta. Data for the feedback reports comes from the Resident Assessment Instrument Minimum Data Set (RAI) version 2.0, a standardized instrument mandated for use in LTC facilities throughout Alberta. Feedback reports consist of one page, front and back, presenting both graphic and textual information. Reports are delivered to all staff working in the four LTC facilities. The primary evaluation uses a controlled interrupted time series design both adjusted and unadjusted for covariates. The concurrent process evaluation uses observation and self-report to assess uptake of the feedback reports. Following the project phase described in this protocol, a similar intervention will be conducted in home care settings in Alberta. Depending on project findings, if they are judged useful by decision makers participating in this research team, we plan dissemination and spread of the feedback report approach throughout Alberta.</p