Bi Sheng
Biographic Data
| ID | 7852914 |
|---|---|
| NAME | Bi Sheng |
| GIVEN NAMES | Bi |
| FAMILY NAME | Sheng |
| SIGNATURE | SHENG B |
| AFFILIATIONS | Zhejiang Normal University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Daily fall risk assessment for older adults using a balance sensor with machine learning
Introduction: Fall-risk assessment is important for preventing falls in older adults, but many conventional balance tests are time-consuming and difficult to use frequently in daily practice. This study aimed to evaluate a rapid 30-s quiet-standing assessment using a balance sensor combined with machine learning for fall-history classification and fall-risk assessment. Methods: A total of 394 older adults (mean age 71.56 ± 6.69 years) participate…
Relationships among Sports Group Cohesion, Passion, and Mental Toughness in Chinese Team Sports Athletes
The relationship between cohesion, passion, and mental toughness reflects the psychological dynamic process from environment to motivation to sports performance. The development of team sports athletes' mental toughness can be carried out from the following points. First, the team should define a sports goal and take the needs of members into account in goal-setting. Second, the sports team should build a team culture that is enterprising, inclus…
No prominent works on this page.
Relationships among Sports Group Cohesion, Passion, and Mental Toughness in Chinese Team Sports Athletes
The relationship between cohesion, passion, and mental toughness reflects the psychological dynamic process from environment to motivation to sports performance. The development of team sports athletes' mental toughness can be carried out from the following points. First, the team should define a sports goal and take the needs of members into account in goal-setting. Second, the sports team should build a team culture that is enterprising, inclus…
Daily fall risk assessment for older adults using a balance sensor with machine learning
Introduction: Fall-risk assessment is important for preventing falls in older adults, but many conventional balance tests are time-consuming and difficult to use frequently in daily practice. This study aimed to evaluate a rapid 30-s quiet-standing assessment using a balance sensor combined with machine learning for fall-history classification and fall-risk assessment. Methods: A total of 394 older adults (mean age 71.56 ± 6.69 years) participate…
Activities of daily living (1 work) · Applied Psychology (1 work) · Applied Psychology (1 work) · Athletes (1 work) · Balance, Gait, and Falls Prevention (1 work) · Behavioral Health and Interventions (1 work) · Cohesion (chemistry (1 work) · Cohort (1 work) · Context-Aware Activity Recognition Systems (1 work) · Frailty in Older Adults (1 work)