Autominder: an intelligent cognitive orthotic system for people with memory impairment
By Martha E. Pollack, Laura E. Brown, Dirk Colbry, C. McCarthy, C. Orosz, Bart Peintner, S. Ramakrishnan, Ioannis Tsamardinos. Robotics Auton. Syst., 2003
411 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/c4f508f1f53c666c6e8f57d7f77b875c91cd5870
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Diane Joyce Cook
- Qiang Yang
- Narayanan Chatapuram Krishnan
- Vincent Wenchen Zheng
- Jasper Snoek
- Zhiwen Yu
- Shuang Cang
- Jodi L. Forlizzi
In Computer Vision and Pattern Recognition
- Diane Joyce Cook
- Narayanan Chatapuram Krishnan
- Jasper Snoek
- Qiang Yang
- Vincent Wenchen Zheng
- C. Nugent
- Parisa Rashidi
- Zhiwen Yu
Citations in the corpus
- Activity Recognition on Streaming Sensor Data (2012, background): “This is also important in the context of developing assistive technologies for the elderly that can help them in completing ADLs (such as prompting systems [9], [10]).”
- Bayesian Optimization and Semiparametric Models with Applications to Assistive Technology (2014, methodology): “The Autominder system [Pollack et al., 2003], deployed as a robot, uses a variety of AI techniques to model a subject’s daily planning, reason about the execution of their plans and then issues reminders if appropriate.”
- Sensor-Based Activity Recognition (2012, methodology): “These models have been used for scheduling [161] and for assistance with a variety of ADL [160], [162].”
- Intelligent Assistive Technology Applications to Dementia Care: Current Capabilities, Limitations, and Future Challenges (2009, background): “18 They also possess customizable multimodal display and prompt delivery systems that leverage the individual’s remaining cognitive and sensory capacities (text, audio, visual graphics, etc.).”
- A Survey on Ambient-Assisted Living Tools for Older Adults (2013, background): “frequency, or content [12], [126], [129].”
- Cross-domain activity recognition (2009, background): “Activity recognition aims to infer a user’s behaviors from the observations such as sensor data, and has various applications including medical care [19], logistics service [13], robot soccer [25], plan recognition [12], etc.”
- A Survey on Ambient Intelligence in Health Care (2013, positive): “Autominder by Pollack et al. [109] is another system which provides users with reminders about their daily activities by reasoning about any disparities between what the client is supposed to do and what she is doing, and makes decisions about whether and when to issue reminders.”
- Elderly activities recognition and classification for applications in assisted living (2013, background): “For example, it can be used to help the elderly recognize and cope with the cognitive decline associated with illness and aging by sending adaptive personalized activity reminders (Pollack et al., 2003).”