Assessment of over-pronated/over-supinated foot using foot-motion measured by an in-shoe motion sensor

2021 ◽  
Author(s):  
Chenhui Huang ◽  
Zhenwei Wang ◽  
Kenichiro Fukushi ◽  
Fumivuki Nihey ◽  
Hiroshi Kajitani ◽  
...  
Keyword(s):  
Motion Sensor ◽  
Foot Motion

scholarly journals Development of a Plantar Load Estimation Algorithm for Evaluation of Forefoot Load of Diabetic Patients during Daily Walks Using a Foot Motion Sensor

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Ayano Watanabe ◽  
Hiroshi Noguchi ◽  
Makoto Oe ◽  
Hiromi Sanada ◽  
Taketoshi Mori
Keyword(s):  
Evaluation Method ◽  
Callus Formation ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Estimation Algorithm ◽  
Diabetic Patients ◽  
Motion Sensor ◽  
Motion Sensors ◽  
Motion Data ◽  
Foot Motion

Forefoot load (FL) contributes to callus formation, which is one of the pathways to diabetic foot ulcers (DFU). In this study, we hypothesized that excessive FL, which cannot be detected by plantar load measurements within laboratory settings, occurs in daily walks. To demonstrate this, we created a FL estimation algorithm using foot motion data. Acceleration and angular velocity data were obtained from a motion sensor attached to each shoe of the subjects. The accuracy of the estimated FL was validated by correlation with the FL measured by force sensors on the metatarsal heads, which was assessed using the Pearson correlation coefficient. The mean of correlation coefficients of all the subjects was 0.63 at a level corridor, while it showed an intersubject difference at a slope and stairs. We conducted daily walk measurements in two diabetic patients, and additionally, we verified the safety of daily walk measurement using a wearable motion sensor attached to each shoe. We found that excessive FL occurred during their daily walks for approximately three hours in total, when any adverse event was not observed. This study indicated that FL evaluation method using wearable motion sensors was one of the promising ways to prevent DFUs.

Evaluation for Effectiveness of Individual Lighting Control using Image-based Motion Sensor

2018 ◽  
Vol 138 (11) ◽  
pp. 1362-1374 ◽  
Author(s):  
Takuya Futagami ◽  
Toru Yano ◽  
Chingchun Huang ◽  
Takaaki Enohara
Keyword(s):  
Motion Sensor ◽  
Lighting Control

AUTOMATIC HEAD-MOVEMENT CONTROLLED WHEELCHAIR

2020 ◽  
Vol 9 (10) ◽  
pp. 62-67
Keyword(s):  
Head Movement ◽  
Motion Sensor ◽  
Electric Wheelchair ◽  
Wheel Chair ◽  
Head Band

This project is regarding the Motion controlled wheelchair for disabled. We are going to control motorized wheelchair using a head band having motion sensor and Arduino as controller. Problem: “often disabled who cannot walk find themselves being burden for their families or caretakers just for moving around the house. Disabled who are paralysed below head, who may not have functioning arms cannot control joystick controlled electric wheelchair.” This project is to solve their problem using a motion sensor to control their wheelchair. We are aiming towards building a more affordable, unique, low maintenance and available for all kind of head-controlled wheel chair.

A New Deprocess Flow of Failure Analysis for MEMS Motion Sensor

2013 ◽  
Author(s):  
Chun-An Huang ◽  
Han-Yun Long ◽  
King-Ting Chiang ◽  
Li Chuang ◽  
Kevin Tsui
Keyword(s):  
Failure Analysis ◽  
Optical Microscopy ◽  
Motion Sensor ◽  
Thermal System ◽  
Layer By Layer ◽  
Sensor Failure ◽  
Process Flow ◽  
New Process ◽  
Cutting System ◽  
Successful Observation

Abstract This paper demonstrates a new de-process flow for MEMS motion sensor failure analysis, using layer by layer deprocessing to locate defect points. Analysis tools used in this new process flow include IR optical microscopy, thermal system, SEM and a cutting system to de-process of MEMS motion sensor and successful observation defect points.

The effect of falling height on muscle activity and foot motion during landings

2003 ◽  
Vol 13 (6) ◽  
pp. 533-544 ◽  
Author(s):  
Adamantios Arampatzis ◽  
Gaspar Morey-Klapsing ◽  
Gert-Peter Brüggemann
Keyword(s):  
Muscle Activity ◽  
Foot Motion

3D word spotting using leap motion sensor

2021 ◽  
Author(s):  
Partha Pratim Roy ◽  
Pradeep Kumar ◽  
Shweta Patidar ◽  
Rajkumar Saini
Keyword(s):  
Motion Sensor ◽  
Leap Motion ◽  
Word Spotting

scholarly journals Quantifying Habitual Physical Activity and Sedentariness in Older Adults—Different Outcomes of Two Simultaneously Body-Worn Motion Sensor Approaches and a Self-Estimation

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1877
Author(s):  
Rieke Trumpf ◽  
Wiebren Zijlstra ◽  
Peter Haussermann ◽  
Tim Fleiner
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Community Dwelling ◽  
Habitual Physical Activity ◽  
Motion Sensor ◽  
Motion Sensors ◽  
Healthy Older Adults ◽  
Lower Back ◽  
Hybrid Motion ◽  
Accurate Quantification

Applicable and accurate assessment methods are required for a clinically relevant quantification of habitual physical activity (PA) levels and sedentariness in older adults. The aim of this study is to compare habitual PA and sedentariness, as assessed with (1) a wrist-worn actigraph, (2) a hybrid motion sensor attached to the lower back, and (3) a self-estimation based on a questionnaire. Over the course of one week, PA of 58 community-dwelling subjectively healthy older adults was recorded. The results indicate that actigraphy overestimates the PA levels in older adults, whereas sedentariness is underestimated when compared to the hybrid motion sensor approach. Significantly longer durations (hh:mm/day) for all PA intensities were assessed with the actigraph (light: 04:19; moderate to vigorous: 05:08) when compared to the durations (hh:mm/day) that were assessed with the hybrid motion sensor (light: 01:24; moderate to vigorous: 02:21) and the self-estimated durations (hh:mm/day) (light: 02:33; moderate to vigorous: 03:04). Actigraphy-assessed durations of sedentariness (14:32 hh:mm/day) were significantly shorter when compared to the durations assessed with the hybrid motion sensor (20:15 hh:mm/day). Self-estimated duration of light intensity was significantly shorter when compared to the results of the hybrid motion sensor. The results of the present study highlight the importance of an accurate quantification of habitual PA levels and sedentariness in older adults. The use of hybrid motion sensors can offer important insights into the PA levels and PA types (e.g., sitting, lying) and it can increase the knowledge about mobility-related PA and patterns of sedentariness, while actigraphy appears to be not recommendable for this purpose.

Sign in / Sign up

Export Citation Format

Share Document