Motionsnap: A Motion Sensor-Based Approach for Automatic Capture and Editing of Photos and Videos on Smartphones

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.

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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.

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3D word spotting using leap motion sensor

Multimedia Tools and Applications ◽

10.1007/s11042-020-10229-5 ◽

2021 ◽

Author(s):

Partha Pratim Roy ◽

Pradeep Kumar ◽

Shweta Patidar ◽

Rajkumar Saini

Keyword(s):

Motion Sensor ◽

Leap Motion ◽

Word Spotting

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DySan: Dynamically Sanitizing Motion Sensor Data Against Sensitive Inferences through Adversarial Networks

Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security ◽

10.1145/3433210.3453095 ◽

2021 ◽

Author(s):

Antoine Boutet ◽

Carole Frindel ◽

Sébastien Gambs ◽

Théo Jourdan ◽

Rosin Claude Ngueveu

Keyword(s):

Sensor Data ◽

Motion Sensor ◽

Adversarial Networks

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Gear VR and leap motion sensor applied in virtual rehabilitation for manual function training

Proceedings of the 5th Workshop on ICTs for improving Patients Rehabilitation Research Techniques ◽

10.1145/3364138.3364169 ◽

2019 ◽

Author(s):

Ana Grasielle D. Corrêa ◽

Natália R. Kintschner ◽

Victor Z. Campos ◽

Silvana M. Blascovi-Assis

Keyword(s):

Motion Sensor ◽

Leap Motion ◽

Virtual Rehabilitation

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

Sensors ◽

10.3390/s20071877 ◽

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.

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Zero gravity induced by parabolic flight enhances automatic capture and weakens voluntary maintenance of visuospatial attention

npj Microgravity ◽

10.1038/s41526-021-00159-3 ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Adriana Salatino ◽

Claudio Iacono ◽

Roberto Gammeri ◽

Stefano T. Chiadò ◽

Julien Lambert ◽

...

Keyword(s):

Space Exploration ◽

Parabolic Flight ◽

Vestibular Function ◽

Visuospatial Attention ◽

Covert Attention ◽

Zero Gravity ◽

Deep Space ◽

Otolith Organ ◽

Deep Space Exploration ◽

Automatic Capture

AbstractOrienting attention in the space around us is a fundamental prerequisite for willed actions. On Earth, at 1 g, orienting attention requires the integration of vestibular signals and vision, although the specific vestibular contribution to voluntary and automatic components of visuospatial attention remains largely unknown. Here, we show that unweighting of the otolith organ in zero gravity during parabolic flight, selectively enhances stimulus-driven capture of automatic visuospatial attention, while weakening voluntary maintenance of covert attention. These findings, besides advancing our comprehension of the basic influence of the vestibular function on voluntary and automatic components of visuospatial attention, may have operational implications for the identification of effective countermeasures to be applied in forthcoming human deep space exploration and habitation, and on Earth, for patients’ rehabilitation.

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