Low-Cost Augmented Reality Systems via 3D Point Cloud Sensors

Placitelli, Alessio Pierluigi; Gallo, Luigi

doi:10.1109/sitis.2011.43

Cited by 27 publications

(7 citation statements)

References 18 publications

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“…Basically, its functions just like as a 3D structured-light depth scanner, and the 3D coordinate of an object in the field of view of a camera can be easily obtained. Although Kinect sensor is originally for Xbox 360 video game, it has been widely utilized in different fields of studies, such as object reconstruction [9] or AR applications [13,14]. Moreover, there are also some applications in developing health-care, rehabilitation or in-home activity monitoring of elders.…”

Section: System Overviewmentioning

confidence: 99%

A Preliminary Study of Using Kinect-based Physical Rehabilitation System to Perform Tai Chi Exercises with FLS Evaluation

Lee¹,

Hsieh²,

Lin³

2018

Neuropsychiatry

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In this study, a physical rehabilitation system based on Kinect sensor is proposed to assist patients with movement disorders to perform the "Tai Chi" exercises at home. With the aid of skeletal tracking of Kinect sensor, each movement of the patient while performing Tai Chi exercises is well recognized and validated. More specifically, patient's movements are compared with the prerecorded movements form a coach, and further evaluated by using fuzzy logic system (FLS). The experiment was carried out according to an ABAB sequence, i.e., A represents the baseline and B represents intervention phases. Experimental results also show that the participants significantly increased their motivation for physical rehabilitation, thus improving exercise performance during the intervention phases.

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Section: System Overviewmentioning

confidence: 99%

A Preliminary Study of Using Kinect-based Physical Rehabilitation System to Perform Tai Chi Exercises with FLS Evaluation

Lee¹,

Hsieh²,

Lin³

2018

Neuropsychiatry

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“…In 2021, Zhongxing Telecom Equipment built the AR Point Cloud Digital Twin Platform and said that the platform had formed a scaled deployment and demonstration effect [ 4 ]. Moreover, point clouds have achieved significant success in many areas, e.g., visual communication [ 5 ], auto-navigation [ 6 ], and immersive systems [ 7 ]. Usually, a point cloud comprises its geometric coordinates and various attributes such as color, normal, temperature, and depth.…”

Section: Introductionmentioning

confidence: 99%

A Method Based on Curvature and Hierarchical Strategy for Dynamic Point Cloud Compression in Augmented and Virtual Reality System

Sun

Yan

et al. 2022

Sensors

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As a kind of information-intensive 3D representation, point cloud rapidly develops in immersive applications, which has also sparked new attention in point cloud compression. The most popular dynamic methods ignore the characteristics of point clouds and use an exhaustive neighborhood search, which seriously impacts the encoder’s runtime. Therefore, we propose an improved compression means for dynamic point cloud based on curvature estimation and hierarchical strategy to meet the demands in real-world scenarios. This method includes initial segmentation derived from the similarity between normals, curvature-based hierarchical refining process for iterating, and image generation and video compression technology based on de-redundancy without performance loss. The curvature-based hierarchical refining module divides the voxel point cloud into high-curvature points and low-curvature points and optimizes the initial clusters hierarchically. The experimental results show that our method achieved improved compression performance and faster runtime than traditional video-based dynamic point cloud compression.

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“…However, optical methods require the use of a complicated image and signal analysis algorithm [14,15] to obtain the vibration frequency, and lighting conditions are also critical in the measurement [8,16]. e development of the depth sensor has unlocked new opportunities for researchers to utilize depth information to provide a device the capability to observe and detect realworld targets beyond human recognition; for instance, highaccuracy object recognition and tracking [17], SLAM application [18][19][20], high security level face recognition [21,22], augmented reality [23], human postural recognition, and distant medic [24][25][26]. In recent years, the use of low-cost consumer level depth sensing input devices such as Intel RealSense and Microsoft Kinect have received significant research attention thereby extending the range of application of depth sensors.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network for Vibration Frequency Measurement Using Kinect V2

Liu

Yang

2019

Shock and Vibration

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Optical measurement can substantially reduce the required amount of labor and simplify the measurement process. Furthermore, the optical measurement method can provide full-field measurement results of the target object without affecting the physical properties of the measurement target, such as stiffness, mass, or damping. The advent of consumer grade depth cameras, such as the Microsoft Kinect, Intel RealSence, and ASUS Xtion, has attracted significant research attention owing to their availability and robustness in sampling depth information. This paper presents an effective method employing the Kinect sensor V2 and an artificial neural network for vibration frequency measurement. Experiments were conducted to verify the performance of the proposed method. The proposed method can provide good frequency prediction within acceptable accuracy compared to an industrial vibrometer, with the advantages of contactless process and easy pipeline implementation.

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Low-Cost Augmented Reality Systems via 3D Point Cloud Sensors

Cited by 27 publications

References 18 publications

A Preliminary Study of Using Kinect-based Physical Rehabilitation System to Perform Tai Chi Exercises with FLS Evaluation

A Preliminary Study of Using Kinect-based Physical Rehabilitation System to Perform Tai Chi Exercises with FLS Evaluation

A Method Based on Curvature and Hierarchical Strategy for Dynamic Point Cloud Compression in Augmented and Virtual Reality System

Artificial Neural Network for Vibration Frequency Measurement Using Kinect V2

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