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We have been conducting research on ways to contribute to reducing the workload of caregivers. We developed a wheelchair capable of following a single accompanying caregiver in a parallel position. However, observations in actual care facilities revealed that people often move as a group: for instance, two caregivers each pushed a wheelchair together. Therefore, we now aim to develop a robotic wheelchair...
This paper presents an interactive control for our assistive robotic walker, the JAIST Active Robotic Walker (JARoW), developed for elderly people in need of walking assistance. The focus of our paper is placed on how to estimate the user's walking parameters by sensing the locations of lower limbs and to predict his or her walking patterns. For this purpose, a particle-filter-based prediction technique...
This paper proposes a solution to increase safety when using robotic walking aids. Walking aids are an important tool as long as they can be safely operated, but elderly people often discard them due to the fear of falling. The authors propose a safety system that locks the walker and giving the appropriate feedback when the user is inadequately gripping the walker's grips. It is based on a low-cost...
Gesture recognition is an important task in Human-Robot Interaction (HRI) and the research effort towards robust and high-performance recognition algorithms is increasing. In this work, we present a neural network approach for learning an arbitrary number of labeled training gestures to be recognized in real time. The representation of gestures is hand-independent and gestures with both hands are...
A large number of stroke-surviving individuals exhibit deficits related to upper limb movement, thereby making post stroke rehabilitation a critical part of patients' health care system. The patients are typically treated with conventional occupational therapy at the hospital after stroke. However, due to economic pressures and limited health care resources often the patients receive less therapy...
Non-contact image photoplethysmography has gained a lot of attention during the last 5 years. Starting with the work of Verkruysse et al. [1], various methods for estimation of the human pulse rate from video sequences of the face under ambient illumination have been presented. Applied on a mobile service robot aimed to motivate elderly users for physical exercises, the pulse rate can be a valuable...
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