A smart sensor to detect the falls of the elderly
By A. Sixsmith, N. Johnson. IEEE pervasive computing, 2004
426 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Physical Therapy, Sports Therapy and Rehabilitation
View Paper: https://www.semanticscholar.org/paper/5fe21d9474977252fe2c64a416098f4dc6a96f92
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Roozbeh Jafari
- Ling Shao
- Alain St-Arnaud
- Ahmed Patel
- Nicholas Luke Seed
- Jean Meunier
- Joaquim Celestino Jr.
- Miguel A. Labrador
In Computer Vision and Pattern Recognition
- Ling Shao
- Roozbeh Jafari
- Nicholas Luke Seed
- Muhammad Mubashir
- Yueng Santiago Delahoz
- Rikke Gade
- Thomas Baltzer Moeslund
- Ruzena Bajcsy
In Physical Therapy, Sports Therapy and Rehabilitation
- Alain St-Arnaud
- Ling Shao
- Ahmed Patel
- Nicholas Luke Seed
- Jean Meunier
- Joaquim Celestino Jr.
- Miguel A. Labrador
- Upkar Varshney
Citations in the corpus
- Distributed recognition of human actions using wearable motion sensor networks (2009, positive): “One dominant application in the past has been single action detection for elderly people, such as falling [7,9,28,30] and walking [3,25].”
- Internet of Things: Architectures, Protocols, and Applications (2017, methodology): “[79] used low cost infrared sensor array technology, which can provide information such as the location, size, and velocity of a target object.”
- Robust Video Surveillance for Fall Detection Based on Human Shape Deformation (2011, methodology): “The 2-D (image) velocity of the person has also been used to detect falls [10], [12].”
- Intelligent Assistive Technology Applications to Dementia Care: Current Capabilities, Limitations, and Future Challenges (2009, methodology): “31,32 The Smart Inactivity Monitor using Array-Based Detec-tors Project deploys wall-mounted low-cost, array-based passive infrared sensors to detect inactivity and falls.”
- Fall detection system using Kinect’s infrared sensor (2014, background): “Thermal cameras are also used to locate and track a thermal target and analyse its motion to detect a fall’s characteristic dynamics and then to monitor target’s inactivity [26].”
- A survey on fall detection: Principles and approaches (2013, methodology): “in [23] for the design of a wearable system called Smart Inactivity Monitor using Array-Based Detectors (SIMBAD).”
- Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors (2014, methodology): “([36,37]) introduced a fall detection system based on Pyroelectric IR sensor arrays.”
- Pervasive Healthcare and Wireless Health Monitoring (2007, background): “There has been some work in falls detection by using an array of infrared sensors [73].”
- Thermal cameras and applications: a survey (2013, background): “Sixsmith and Johnson [164] proposed a system that uses a low resolution thermal sensor.”
- A Smart and Passive Floor-Vibration Based Fall Detector for Elderly (2006, methodology): “SIMBAD [8] uses a low-cost array of infrared detectors to capture low-resolution blurry image of the resident and then analyzes the subject's motion to detect a fall event.”
- An intrusion detection and prevention system in cloud computing: A systematic review (2013, methodology): “, 2006), and Sixsmith & Johnson tried to improve the quality of sensors to detect more intrusions (Smith and Johnson, 2004).”
- Stretchable, Transparent, Ultrasensitive, and Patchable Strain Sensor for Human-Machine Interfaces Comprising a Nanohybrid of Carbon Nanotubes and Conductive Elastomers. (2015, background): “Detection of strains induced on human skin using patchable conformal strain sensors is one approach to monitor human emotions,(8) intentions, and activities.(2,9,10)”
- Fall Detection from Human Shape and Motion History Using Video Surveillance (2007, background): “Another advantage of such a system is that a camera gives more information on the motion of a person and his/her actions than an accelerometer.”