Activity monitoring in daily life is gaining momentum as a health assessment tool, especially in older adults and at-risk populations. Several research-based and commercial systems have been proposed with varying performances in classification accuracy. Configurations with many sensors are generally accurate but cumbersome, whereas single sensors tend to have lower accuracies. To this end, we propose an instrumented shoes system capable of accurate activity classification and gait analysis that contains sensors located entirely at the level of the shoes. One challenge in daily activity monitoring is providing punctual and subject-tailored feedback to improve mobility. Therefore, the instrumented shoe system was equipped with a Bluetooth® mo...
Falls among the aging population occur every single day, with 1 in every 5 resulting in some injury ...
AbstractIn order to perform long-term, low-effort gait analysis an instrumented shoe insole, equippe...
In this paper we propose a wireless wearable device for real-time fall detection attached to the ank...
Activity monitoring in daily life is gaining momentum as a health assessment tool, especially in old...
Activity monitoring in daily life is gaining momentum as a health assessment tool, especially in old...
A new system combining embedded networked sensing, signal processing, and state detection algorithms...
Automatic activity detection is important for remote monitoring of elderly people or patients, for c...
Gait analysis and more specifically ambulatory monitoring of temporal and spatial gait parameters ma...
Gait analysis plays a major role in treatment of osteoarthritis, knee or hip replacements, and muscu...
Quantifying daily physical activity in older adults can provide relevant monitoring and diagnostic i...
Quantifying daily physical activity in older adults can provide relevant monitoring and diagnostic i...
Wearable sensors may enable the continuous monitoring of gait out of the clinic without requiring su...
There have been numerous efforts to detect human physical activities automatically. Healthcare profe...
Capability to perform activities of daily living (ADLs) is a major factor in quality of life (QOL). ...
The aim of this paper is to present a multisensory system that studies abnormal walking patterns to ...
Falls among the aging population occur every single day, with 1 in every 5 resulting in some injury ...
AbstractIn order to perform long-term, low-effort gait analysis an instrumented shoe insole, equippe...
In this paper we propose a wireless wearable device for real-time fall detection attached to the ank...
Activity monitoring in daily life is gaining momentum as a health assessment tool, especially in old...
Activity monitoring in daily life is gaining momentum as a health assessment tool, especially in old...
A new system combining embedded networked sensing, signal processing, and state detection algorithms...
Automatic activity detection is important for remote monitoring of elderly people or patients, for c...
Gait analysis and more specifically ambulatory monitoring of temporal and spatial gait parameters ma...
Gait analysis plays a major role in treatment of osteoarthritis, knee or hip replacements, and muscu...
Quantifying daily physical activity in older adults can provide relevant monitoring and diagnostic i...
Quantifying daily physical activity in older adults can provide relevant monitoring and diagnostic i...
Wearable sensors may enable the continuous monitoring of gait out of the clinic without requiring su...
There have been numerous efforts to detect human physical activities automatically. Healthcare profe...
Capability to perform activities of daily living (ADLs) is a major factor in quality of life (QOL). ...
The aim of this paper is to present a multisensory system that studies abnormal walking patterns to ...
Falls among the aging population occur every single day, with 1 in every 5 resulting in some injury ...
AbstractIn order to perform long-term, low-effort gait analysis an instrumented shoe insole, equippe...
In this paper we propose a wireless wearable device for real-time fall detection attached to the ank...