Low Power ASIC for Monitoring Human Motion Activity

2015 ◽  
Vol 135 (5) ◽  
pp. 178-183
Author(s):  
Fumihiro Washino ◽  
Yuki Matsumoto ◽  
Tomoya Tanaka ◽  
Koji Sonoda ◽  
Kensuke Kanda ◽  
...  
Keyword(s):  
Low Power ◽  
Human Motion ◽  
Motion Activity

Matlab Simulink Simulation of Respiratory Effort Energy Harvester Using Electromagnetic Generator

2015 ◽  
Vol 793 ◽  
pp. 417-421
Author(s):  
Azuwa Ali ◽  
Noor Ashikin Mohd Razali ◽  
Mahmoud Albreem ◽  
Mohd Hafiz Arshad ◽  
Khairuddin Khalid
Keyword(s):  
Energy Source ◽  
Low Power ◽  
Chest Wall ◽  
Energy Harvester ◽  
Human Motion ◽  
Respiratory Effort ◽  
Power Devices ◽  
Matlab Simulink ◽  
Simulink Simulation ◽  
Electromagnetic Generator

Electromagnetic generator as respiratory effort energy harvester is designed as a renewable energy source to generate a low power and exploiting human motion to extract energy. By selecting respiratory effort as energy harvester it can be carried out 24 hours as long as the electromagnetic generator is wearing on the human chest. It is because the electromagnetic generator functions when there is a motion of the chest wall. The electromagnetic generator basically constructed with two miniature dc motor generator, pulley, belt, gear and chest belt. The generator operates when there is change in chest wall circumstance during exhalation breathing process. The low power that produces can be apply on low power devices such as sensor or microcontroller. Simulation is done using Matlab Simulink to verify that respiratory effort able to produce the minimum required power to power up low power devices. Result from the simulation showing good outcome with 2.5mW of output power.

scholarly journals A durable nanomesh on-skin strain gauge for natural skin motion monitoring with minimum mechanical constraints

2020 ◽  
Vol 6 (33) ◽  
pp. eabb7043 ◽  
Author(s):  
Yan Wang ◽  
Sunghoon Lee ◽  
Tomoyuki Yokota ◽  
Haoyang Wang ◽  
Zhi Jiang ◽  
...  
Keyword(s):  
Strain Gauge ◽  
Body Movement ◽  
Full Range ◽  
Human Motion ◽  
Activity Monitoring ◽  
Continuous Motion ◽  
Widespread Application ◽  
Mechanical Constraints ◽  
Human Motion Detection ◽  
Motion Activity

Ultraconformable strain gauge can be applied directly to human skin for continuous motion activity monitoring, which has seen widespread application in interactive robotics, human motion detection, personal health monitoring, and therapeutics. However, the development of an on-skin strain gauge that can detect human body motions over a long period of time without disturbing the natural skin movements remains a challenge. Here, we present an ultrathin and durable nanomesh strain gauge for continuous motion activity monitoring that minimizes mechanical constraints on natural skin motions. The device is made from reinforced polyurethane-polydimethylsiloxane (PU-PDMS) nanomeshes and exhibits excellent sustainability, linearity, and durability with low hysteresis. Its thinness geometry and softness provide minimum mechanical interference on natural skin deformations. During speech, the nanomesh-attached face exhibits skin strain mapping comparable to that of a face without nanomeshes. We demonstrate long-term facial stain mapping during speech and the capability for real-time stable full-range body movement detection.

scholarly journals Fusion of Multiple Lidars and Inertial Sensors for the Real-Time Pose Tracking of Human Motion

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5342
Author(s):  
Ashok Kumar Patil ◽  
Adithya Balasubramanyam ◽  
Jae Yeong Ryu ◽  
Pavan Kumar B N ◽  
Bharatesh Chakravarthi ◽  
...  
Keyword(s):  
Real Time ◽  
Inertial Sensors ◽  
Tracking System ◽  
Initial Step ◽  
Human Motion ◽  
Position Estimation ◽  
Measurement Unit ◽  
Multiple Sensors ◽  
Pose Tracking ◽  
Motion Activity

Today, enhancement in sensing technology enables the use of multiple sensors to track human motion/activity precisely. Tracking human motion has various applications, such as fitness training, healthcare, rehabilitation, human-computer interaction, virtual reality, and activity recognition. Therefore, the fusion of multiple sensors creates new opportunities to develop and improve an existing system. This paper proposes a pose-tracking system by fusing multiple three-dimensional (3D) light detection and ranging (lidar) and inertial measurement unit (IMU) sensors. The initial step estimates the human skeletal parameters proportional to the target user’s height by extracting the point cloud from lidars. Next, IMUs are used to capture the orientation of each skeleton segment and estimate the respective joint positions. In the final stage, the displacement drift in the position is corrected by fusing the data from both sensors in real time. The installation setup is relatively effortless, flexible for sensor locations, and delivers results comparable to the state-of-the-art pose-tracking system. We evaluated the proposed system regarding its accuracy in the user’s height estimation, full-body joint position estimation, and reconstruction of the 3D avatar. We used a publicly available dataset for the experimental evaluation wherever possible. The results reveal that the accuracy of height and the position estimation is well within an acceptable range of ±3–5 cm. The reconstruction of the motion based on the publicly available dataset and our data is precise and realistic.

scholarly journals Hand Tracking and Gesture Recognition Using Lensless Smart Sensors

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2834 ◽  
Author(s):  
Lizy Abraham ◽  
Andrea Urru ◽  
Niccolò Normani ◽  
Mariusz Wilk ◽  
Michael Walsh ◽  
...  
Keyword(s):  
Low Power ◽  
Gesture Recognition ◽  
Motion Tracking ◽  
Low Cost ◽  
Human Motion ◽  
Optical Data ◽  
Infrared Light ◽  
Hand Tracking ◽  
Point Tracking ◽  
Novel Approach

The Lensless Smart Sensor (LSS) developed by Rambus, Inc. is a low-power, low-cost visual sensing technology that captures information-rich optical data in a tiny form factor using a novel approach to optical sensing. The spiral gratings of LSS diffractive grating, coupled with sophisticated computational algorithms, allow point tracking down to millimeter-level accuracy. This work is focused on developing novel algorithms for the detection of multiple points and thereby enabling hand tracking and gesture recognition using the LSS. The algorithms are formulated based on geometrical and mathematical constraints around the placement of infrared light-emitting diodes (LEDs) on the hand. The developed techniques dynamically adapt the recognition and orientation of the hand and associated gestures. A detailed accuracy analysis for both hand tracking and gesture classification as a function of LED positions is conducted to validate the performance of the system. Our results indicate that the technology is a promising approach, as the current state-of-the-art focuses on human motion tracking that requires highly complex and expensive systems. A wearable, low-power, low-cost system could make a significant impact in this field, as it does not require complex hardware or additional sensors on the tracked segments.

Ultra Low Power Bioelectronics

2009 ◽  
Author(s):  
Rahul Sarpeshkar
Keyword(s):  
Low Power ◽  
Ultra Low Power

Editorial: Human motion perception, eye movements, and orientation in visual space

2000 ◽  
Vol 59 (2) ◽  
pp. 85-88 ◽  
Author(s):  
Rudolf Groner ◽  
Marina T. Groner ◽  
Kazuo Koga
Keyword(s):  
Eye Movements ◽  
Motion Perception ◽  
Visual Space ◽  
Human Motion

Less Power, Greater Conflict

2018 ◽  
Vol 49 (1) ◽  
pp. 47-62 ◽  
Author(s):  
Petra C. Schmid
Keyword(s):  
Low Power ◽  
High Power ◽  
Goal Pursuit ◽  
Goal Conflict ◽  
Personal Goals ◽  
Multiple Goals ◽  
Objective Performance ◽  
The Future ◽  
The Way

Abstract. Power facilitates goal pursuit, but how does power affect the way people respond to conflict between their multiple goals? Our results showed that higher trait power was associated with reduced experience of conflict in scenarios describing multiple goals (Study 1) and between personal goals (Study 2). Moreover, manipulated low power increased individuals’ experience of goal conflict relative to high power and a control condition (Studies 3 and 4), with the consequence that they planned to invest less into the pursuit of their goals in the future. With its focus on multiple goals and individuals’ experiences during goal pursuit rather than objective performance, the present research uses new angles to examine power effects on goal pursuit.

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