Sitting Posture Recognition and Location Estimation for Human-Aware Environment

Author(s):  
Yusuke Manabe ◽  
Kenji Sugawara

Realization of human-computer symbiosis is an important idea in the context of ubiquitous computing. Symbiotic Computing is a concept that bridges the gap between situations in Real Space (RS) and data in Digital Space (DS). The main purpose is to develop an intelligent software application as well as establish the next generation information platform to develop the symbiotic system. In this paper, the authors argue that it is necessary to build ’Mutual Cognition’ between human and system. Mutual cognition consists of two functions: ’RS Cognition’ and ’DS Cognition’. This paper examines RS Cognition, which consists of many software functions for perceiving various situations like events or humans’ activities in RS. The authors develop two perceptual functions, sitting posture recognition and human’s location estimation for a person, as RS perception tasks. In the resulting experiments, developed functions are quite competent to recognize a human’s activities.

Author(s):  
Yusuke Manabe ◽  
Kenji Sugawara

Realization of human-computer symbiosis is an important idea in the context of ubiquitous computing. Symbiotic Computing is a concept that bridges the gap between situations in Real Space (RS) and data in Digital Space (DS). The main purpose is to develop an intelligent software application as well as establish the next generation information platform to develop the symbiotic system. In this paper, the authors argue that it is necessary to build ’Mutual Cognition’ between human and system. Mutual cognition consists of two functions: ’RS Cognition’ and ’DS Cognition’. This paper examines RS Cognition, which consists of many software functions for perceiving various situations like events or humans’ activities in RS. The authors develop two perceptual functions, sitting posture recognition and human’s location estimation for a person, as RS perception tasks. In the resulting experiments, developed functions are quite competent to recognize a human’s activities.


2016 ◽  
Vol 65 (9) ◽  
pp. 1557-1563 ◽  
Author(s):  
Sangyong Ma ◽  
Sangpyo Hong ◽  
Hyeon-min Shim ◽  
Jang-Woo Kwon ◽  
Sangmin Lee

Author(s):  
Katia Bourahmoune ◽  
Toshiyuki Amagasa

Humans spend on average more than half of their day sitting down. The ill-effects of poor sitting posture and prolonged sitting on physical and mental health have been extensively studied, and solutions for curbing this sedentary epidemic have received special attention in recent years. With the recent advances in sensing technologies and Artificial Intelligence (AI), sitting posture monitoring and correction is one of the key problems to address for enhancing human well-being using AI. We present the application of a sitting posture training smart cushion called LifeChair that combines a novel pressure sensing technology, a smartphone app interface and machine learning (ML) for real-time sitting posture recognition and seated stretching guidance. We present our experimental design for sitting posture and stretch pose data collection using our posture training system. We achieved an accuracy of 98.93% in detecting more than 13 different sitting postures using a fast and robust supervised learning algorithm. We also establish the importance of taking into account the divergence in user body mass index in posture monitoring. Additionally, we present the first ML-based human stretch pose recognition system for pressure sensor data and show its performance in classifying six common chair-bound stretches.


2020 ◽  
Vol E103.D (5) ◽  
pp. 1067-1077
Author(s):  
Teruhiro MIZUMOTO ◽  
Yasuhiro OTODA ◽  
Chihiro NAKAJIMA ◽  
Mitsuhiro KOHANA ◽  
Motohiro UENISHI ◽  
...  

2021 ◽  
Vol 21 (2) ◽  
pp. 1779-1786 ◽  
Author(s):  
Jianquan Wang ◽  
Basim Hafidh ◽  
Haiwei Dong ◽  
Abdulmotaleb El Saddik

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