Evaluation of a 3D Motion Sensor including Accelerometer and Geomagnetic sensor

AbstractRecent epidemiological analyses in fencing have shown that injuries and pain linked specifically to fencing training/competition were evident in 92.8% of fencers. Specifically the prevalence of Achilles tendon pathology has increased substantially in recent years, and males have been identified as being at greater risk of Achilles tendon injury compared to their female counterparts. This study aimed to examine gender differences in Achilles tendon loading during the fencing lunge.Achilles tendon load was obtained from eight male and eight female club level epee fencers using a 3D motion capture system and force platform information as they completed simulated lunges. Independent t-tests were performed on the data to determine whether differences existed.The results show that males were associated with significantly greater Achilles tendon loading rates in comparison to females.This suggests that male fencers may be at greater risk from Achilles tendon pathology as a function of fencing training/ competition.

Download Full-text

AUTOMATIC HEAD-MOVEMENT CONTROLLED WHEELCHAIR

June-2020 - International Journal of Engineering Sciences & Research Technology ◽

10.29121/ijesrt.v9.i10.2020.7 ◽

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.

Download Full-text

A New Deprocess Flow of Failure Analysis for MEMS Motion Sensor

ISTFA 2013: Conference Proceedings from the 39th International Symposium for Testing and Failure Analysis ◽

10.31399/asm.cp.istfa2013p0540 ◽

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.

Download Full-text