Intelligent Foot Research Articles

Assistive Technology for Real-Time Fall Prevention During Walking: Evaluation of the Effect of an Intelligent Foot Orthosis

Abstract We present an intelligent foot orthosis (IFO) designed to prevent lateral falls during walking by employing a magnetorheological (MR) fluid brake. This study aims to demonstrate the feasibility of evaluating effectiveness of the proposed orthosis in fall prevention. Seventeen healthy adults underwent four conditions: (1) without IFO, (2) with IFO and current-OFF, (3) with IFO current-ON, and (4) with IFO and control-ON. Gait was assessed by three-dimensional motion capture and with ground reaction force. Postural changes on the frontal plane were measured, and the mediolateral center of gravity and center of pressure inclination angle (ML COG-COP IA) was calculated. Additionally, tibialis anterior (TA) and peroneus longus (PL) muscle activity during walking were measured using surface electromyography. Results indicate a significant increase in ML COG-COP IA in (3). No significant differences were found in muscle activity between conditions. The study suggests that the posture's deviation from the lateral fall direction in (3) is primarily due to wearing the IFO, emphasizing human postural control over muscle activity. A negative correlation between ML COG-COP IA and TA muscle activity under (4), implies that individuals with lower TA muscle activity may benefit more from IFO fall prevention. In conclusion, the study demonstrates the feasibility of preventing lateral falls in human walking using the proposed orthosis with an MR fluid brake. The general efficacy of the orthosis in lateral fall prevention is suggested, emphasizing the need for further development.

Effectiveness of an Intelligent Foot Orthosis in Lateral Fall Prevention

Abstract The aim of this study was to validate the effectiveness of the newly developed intelligent foot orthosis (IFO) at preventing lateral falls. The IFO is a wearable fall prevention system based on using a small magnetorheological brake to control the height of the lateral sole. Experiments were performed to compare the walking motions on a lateral slope under four conditions: without IFO, with IFO current-OFF, with IFO current-ON, and with IFO control-ON. The mediolateral center of gravity and center of pressure horizontal distance (ML COG–COP HD) were measured in three-dimensional motion analysis to represent the change in posture on the frontal plane. To observe the corresponding muscular activity, surface electromyography (EMG) was performed to obtain the mean and peak root-mean-square (RMS) for the tibia anterior (TA) and peroneus longus (PL) in the first half of the stance phase when the IFO applied control. In the results, ML COG-COP HD increased significantly under the “with IFO control-ON” compared to the “without IFO” and “with IFO current-ON” conditions. The mean RMS of the TA was significantly decreased under the “with IFO current-ON” and “with IFO control-ON” conditions compared to the “without IFO” condition. These results demonstrate that the posture moved away from the lateral fall direction primarily due to IFO assistance rather than muscular activity, which would be a consequence of human postural control. Thus, the IFO does appear to help prevent lateral falls.

Design of an Intelligent Foot Insole Using Dynamic Sensor Network for Prevention of Diabetic Foot Ulceration- Telemedicine Application

Design of an Intelligent Foot Insole Using Dynamic Sensor Network for Prevention of Diabetic Foot Ulceration- Telemedicine Application

Refining Healthcare in Terms of Diabetic Care: Future Area of Scope for Artificial Intelligence

Recently, the entire world is facing another noncommunicable disease known as Diabetics. Basic reasons behind this disease is not unique , but certainly may be due to an increase in economic burden, less activity, change in lifestyle, improper food intake and increase in the level of stress. This disease has its effects all over the ages in the world from child to old age people. Hence its treatment is a big challenge to the social and economic growth of every nation. Plenty of research is undergoing in this area to improve health care which requires certain modifications and validations by clinical trials. Advancement in artificial intelligence is able to provide unique solutions in the future. The basic motivation behind this paper is to study the entire innovation taking place in recent years in the area of diabetic prevention and detection. Continuous monitoring of blood glucose level by invasive and non-invasive sensor technology, diet monitoring system, activity monitoring, intelligent foot and artificial pancreas for diabetics is the major focus of this study. Also, these studies focus on complete medical healthcare solution by using artificial intelligence. This study will surely help to identify future scope in the area of diabetic and its prevention models which can act as a future of diabetic health care

Mobile network computer can better describe the future of information society

In the paper, we illustrate the importance of the concept of mobile network computer from a technological perspective. Because of the usefulness of mobile network computers, with the growth of the Internet of things, mobile network computers may include not only TV box audio-visual equipment, wireless household appliances, and mobile communication equipment, but may also include devices such as intelligent foot rings, smart watches, smart glasses, smart shoes and smart coats. Considering the different types of networks, e.g. IP multimedia Subsystem (IMS), we explain why some network elements are inaccurate and misleading from a technological perspective. We aim to popularize the concept of mobile network computers for its accuracy and importance, which better define modern mobile terminals and reflects the nature of multiple mobile terminals based on the structure of their integrated computers and the capabilities of processing multimedia. In the computer and Internet age, network computers and mobile network computers are the main terminals of fixed and mobile networks, respectively. Therefore, based on the concept of mobile network computers, we discuss the future of information society.

6-Axis Force/Moment Sensor In Humanoid Robot Foot

The foot is the most Important part of the humanoid .Thought the sensor of the robot can understand the environment In which they live, it is important to developed an intelligent foot. In order to walk on uneven terrain safely this poster describes an intelligent foot with 6- axis force/moment sensors for humanoid robot that is one of the solution that can help the robot to walk in uneven terrain safely.

Development of 6-axis force/moment sensor for a humanoid robot's foot

The development of a 6-axis force/moment sensor considering adult weight for an intelligent foot of humanoid robot is described. To walk on uneven terrain safely, the foot should perceive the applied forces Fx, Fy and Fz and moments Mx, My and Mz to itself and control itself using the forces and moments. The applied forces and moments should be measured from a 6-axis force/moment sensor attached to the foot, which is composed of Fx, Fy, Fz, Mx, My and Mz sensors in a body. Each sensor has different rated loads because the applied forces and moments to foot in walking are different. Therefore one of the important tasks in developing the sensor is to design each sensor with the different rated loads and the same rated output. A 6-axis force/moment sensor for a humanoid robot's foot was developed using parallel plate-beams. The structure of the sensor was newly modelled, and the sensing elements (plate-beams) of the sensor were designed using theoretical analysis. Then, the 6-axis force/moment sensor was fabricated by attaching strain gauges on the sensing elements, and the characteristic test of the developed sensor was carried out. The rated outputs from the theoretical analysis agree well with that from the characteristic test.